Alternatives to Cohere Parse
Compare Cohere Parse alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Cohere Parse in 2026. Compare features, ratings, user reviews, pricing, and more from Cohere Parse competitors and alternatives in order to make an informed decision for your business.
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1
Gemini 3.6 Flash
Google
Gemini 3.6 Flash is Google’s newest Flash model built for efficient, reliable, production-scale AI agents. The model improves on Gemini 3.5 Flash with stronger coding, knowledge work, multimodal performance, computer use, and agentic workflow execution. Gemini 3.6 Flash is designed to use fewer output tokens, take fewer reasoning steps, reduce unnecessary tool calls, and lower the cost of complex AI tasks. It supports document parsing, chart analysis, data analysis, report drafting, code migrations, visual understanding, and multi-agent orchestration. The model is available through the Gemini API, Google AI Studio, Android Studio, Google Antigravity, Gemini Enterprise Agent Platform, Gemini Enterprise app, and the Gemini app. Built for developers and enterprises, Gemini 3.6 Flash helps teams build faster, lower-cost, and more capable AI agents across coding, analysis, productivity, and multimodal workloads.Starting Price: $1.50 per 1M tokens (input) -
2
Seed2.1 Pro
ByteDance
Seed2.1 Pro is a next-generation AI productivity model built to handle complex, real-world work across general agents, code engineering, and multimodal understanding. It reliably executes multi-step tasks for high-value office work and everyday consultation, including project planning, file processing, research, tool use, spreadsheet analysis, lesson-plan slide generation, and industry report creation across tools and environments. In software development workflows, Seed2.1 Pro strengthens end-to-end delivery by improving requirement understanding, architecture design, coding, debugging, implementation, and validation. Its agent capabilities are designed to make steady progress on difficult tasks and return practical, verifiable results rather than isolated responses. The model also advances knowledge, reasoning, visual understanding, spatial reasoning, and long-context processing, giving agents a stronger foundation for complex decision-making and execution. -
3
Reducto
Reducto
Reducto is a document-ingestion API that enables organizations to convert complex, unstructured documents, such as PDFs, images, and spreadsheets, into clean, structured outputs ready for large language model workflows and production pipelines. Its parsing engine reads documents as a human would, capturing layout, structure, tables, figures, and text regions with high accuracy; an “Agentic OCR” layer then reviews and corrects outputs in real time, enabling reliable results even in challenging edge cases. The platform enables automatic splitting of multi-document files or lengthy forms into individually useful units, using layout-aware heuristics to streamline pipelines without manual preprocessing. Once split, Reducto supports schema-level extraction of structured data, such as invoice fields, onboarding forms, or financial disclosures, so that the right information lands exactly where it is needed. The technology first applies layout-aware vision models to break down visual structure.Starting Price: $0.015 per credit -
4
Quantxt Theia
Quantxt
Extract data from scanned and digital documents. Process documents with any layout and complexity. Transform into a fully structured and machine-readable format. Process all your business documents automatically. Extract information from your scanned and digital documents into a structured format. Use the cleaned and structured data to derive a downstream process, store in a database or, simply, export into a spreadsheet. Go far beyond OCR and standard document parsing capabilities. Plain content extracted out of a document is not useful for most of the applications. It needs to be converted into a machine-readable format. Transform text and data embedded anywhere in your documents of any size and complexity into structured data. Bring scale and efficiency to your business. Automate data extraction and see the impact on your workflows immediately. Process a lot more documents without hiring more document scrubbers while eliminating human error. -
5
Docling
Docling
Docling is an easy-to-use, self-contained, MIT-licensed open source toolkit for converting messy documents into structured data and simplifying downstream document and AI processing. It can parse many popular document formats into a unified and richly structured Docling Document, including PDF, DOCX, PPTX, XLSX, HTML, Markdown, AsciiDoc, CSV, images, audio, and scanned pages through an OCR engine of the user’s choice. Docling detects tables, formulas, reading order, chunks, bounding boxes, page headers and footers, pictures, captions, code, list items, paragraphs, cells, and document structure, making extracted content easier to process, search, and ingest into AI, RAG, and agentic systems. It can export parsed documents to JSON, text, Markdown, HTML, and Doctags, giving developers flexible outputs for pipelines and applications. Docling stores and traverses components according to reading order, partitions documents into bite-sized contiguous text chunks.Starting Price: Free -
6
PaddleOCR
PaddlePaddle
PaddleOCR is a leading open source OCR toolkit and document AI engine that turns PDFs and images into structured, LLM-ready data with high accuracy. It is designed to bridge the gap between documents and large language models by extracting, recognizing, parsing, and organizing information from scanned pages, photos, forms, tables, formulas, charts, and complex layouts. PaddleOCR supports more than 100 languages and provides a practical toolkit for building intelligent RAG and agentic applications that need reliable document understanding. Its core capabilities include PaddleOCR-VL, PP-OCRv5, PP-StructureV3, and PP-ChatOCRv4. PaddleOCR-VL is an ultra-compact vision-language model for multilingual document parsing, supporting 109 languages and performing well on complex elements such as text, tables, formulas, and charts. PP-OCRv5 is built for universal-scene text recognition.Starting Price: Free -
7
Upstage Document Parse
Upstage AI
Upstage Document Parse transforms complex documents, PDFs, scanned images, spreadsheets, and slides containing text, tables, charts, and even handwriting, into structured, machine‑readable HTML or Markdown with enterprise‑grade speed and accuracy. Leveraging advanced layout understanding, it recognizes complex tables, charts, and element coordinates, processes pages at an average of 0.6 seconds each (100 pages in under a minute, 5–10× faster than competitors), and delivers over 5% higher layout and table recognition accuracy (TEDS: 93.48, TEDS‑S: 94.16). Easily invoked via a REST API or deployed on‑premises or through marketplaces like AWS, it fits seamlessly into existing pipelines using simple client libraries. Use cases span retrieval‑augmented enterprise search, AI‑powered document summarization, legal and compliance digitization, and financial report processing, preserving intricate layouts and ensuring clean, searchable outputs for downstream LLM workflows.Starting Price: $0.1 per 1M tokens -
8
Gemini 3.5 Flash-Lite
Google
Gemini 3.5 Flash-Lite is Google’s fastest model in the Gemini 3.5 series, designed for low-latency tasks and high-throughput developer workflows such as agentic search, document processing, coding, and large-scale data analysis. It delivers 350 output tokens per second and significantly improves on previous Flash-Lite generations in both quality and agentic performance. Developers can configure its thinking level to match the workload: minimal or low thinking supports fast execution for high-volume tasks, while higher thinking levels enable more complex, multi-step subagent workflows. Built-in computer-use capabilities allow the model to interact reliably with digital environments across supported surfaces. Gemini 3.5 Flash-Lite also advances coding, long-context understanding, and real-world task execution, outperforming Gemini 3.1 Flash-Lite across key evaluations and even surpassing Gemini 3 Flash on several agentic and software-engineering benchmarks.Starting Price: $0.30 per 1M input tokens -
9
Mistral OCR 3
Mistral AI
Mistral OCR 3 is the third-generation optical character recognition model from Mistral AI designed to achieve a new frontier in accuracy and efficiency for document processing by extracting text, embedded images, and structure from a wide range of documents with exceptional fidelity. It delivers breakthrough performance with a 74% overall win rate over the previous generation on forms, scanned documents, complex tables, and handwriting, outperforming both enterprise document processing solutions and AI-native OCR tools. OCR 3 supports output in clean text, Markdown, or structured JSON with HTML table reconstruction to preserve layout, enabling downstream systems and workflows to understand both content and structure. It powers the Document AI Playground in Mistral AI Studio for drag-and-drop parsing of PDFs and images and integrates via API for developers to automate document extraction workflows.Starting Price: $14.99 per month -
10
Qwen2.5-VL
Alibaba
Qwen2.5-VL is the latest vision-language model from the Qwen series, representing a significant advancement over its predecessor, Qwen2-VL. This model excels in visual understanding, capable of recognizing a wide array of objects, including text, charts, icons, graphics, and layouts within images. It functions as a visual agent, capable of reasoning and dynamically directing tools, enabling applications such as computer and phone usage. Qwen2.5-VL can comprehend videos exceeding one hour in length and can pinpoint relevant segments within them. Additionally, it accurately localizes objects in images by generating bounding boxes or points and provides stable JSON outputs for coordinates and attributes. The model also supports structured outputs for data like scanned invoices, forms, and tables, benefiting sectors such as finance and commerce. Available in base and instruct versions across 3B, 7B, and 72B sizes, Qwen2.5-VL is accessible through platforms like Hugging Face and ModelScope.Starting Price: Free -
11
Nemotron 3 Nano Omni
NVIDIA
NVIDIA Nemotron 3 Nano Omni is an open, omni-modal foundation model designed to unify perception and reasoning across text, images, audio, video, and documents within a single efficient architecture. It eliminates the need for separate models for each modality, reducing inference latency, orchestration complexity, and cost while maintaining consistent cross-modal context. It is purpose-built for agentic AI systems, acting as a perception and context sub-agent that gives larger AI agents the ability to “see, hear, and read” in real time across screens, recordings, and structured or unstructured data. It supports advanced multimodal reasoning tasks such as document understanding, speech recognition, long audio-video analysis, and computer-use workflows, enabling agents to interpret dynamic interfaces and complex environments. Built with a hybrid architecture optimized for long context and throughput, it can process large inputs like multi-page documents.Starting Price: Free -
12
GLM-4.5V-Flash
Z.ai
GLM-4.5V-Flash is an open source vision-language model, designed to bring strong multimodal capabilities into a lightweight, deployable package. It supports image, video, document, and GUI inputs, enabling tasks such as scene understanding, chart and document parsing, screen reading, and multi-image analysis. Compared to larger models in the series, GLM-4.5V-Flash offers a compact footprint while retaining core VLM capabilities like visual reasoning, video understanding, GUI task handling, and complex document parsing. It can serve in “GUI agent” workflows, meaning it can interpret screenshots or desktop captures, recognize icons or UI elements, and assist with automated desktop or web-based tasks. Although it forgoes some of the largest-model performance gains, GLM-4.5V-Flash remains versatile for real-world multimodal tasks where efficiency, lower resource usage, and broad modality support are prioritized.Starting Price: Free -
13
Upstage AI
Upstage.ai
Upstage AI builds powerful large language models and document processing engines designed to transform workflows across industries like insurance, healthcare, and finance. Their enterprise-grade AI technology delivers high accuracy and performance, enabling businesses to automate complex tasks such as claims processing, underwriting, and clinical document analysis. Key products include Solar Pro 2, a fast and grounded enterprise language model, Document Parse for converting PDFs and scans into machine-readable text, and Information Extract for precise data extraction from contracts and invoices. Upstage’s AI solutions help companies save time and reduce manual work by providing instant, accurate answers from large document sets. The platform supports flexible deployment options including cloud, on-premises, and hybrid, meeting strict compliance requirements. Trusted by global clients, Upstage continues to advance AI innovation with top conference publications and industry awards.Starting Price: $0.5 per 1M tokens -
14
ParseForMe
ParseForMe
ParseForMe is an AI-powered document parsing platform that automatically extracts structured data from PDFs, scans, images, invoices, receipts, resumes, forms, and other documents. Users can upload documents and define the information they need, then ParseForMe reads, extracts, validates, and organizes the data into structured fields. Data can be exported in formats such as JSON, CSV, and XLSX. ParseForMe also supports field maps, connectors, webbooks, API access, usage analytics, and workflow automation, helping businesses reduce manual data entry and process documents faster and more consistently.Starting Price: $19/month -
15
DeepSeek-VL
DeepSeek
DeepSeek-VL is an open source Vision-Language (VL) model designed for real-world vision and language understanding applications. Our approach is structured around three key dimensions: We strive to ensure our data is diverse, scalable, and extensively covers real-world scenarios, including web screenshots, PDFs, OCR, charts, and knowledge-based content, aiming for a comprehensive representation of practical contexts. Further, we create a use case taxonomy from real user scenarios and construct an instruction tuning dataset accordingly. The fine-tuning with this dataset substantially improves the model's user experience in practical applications. Considering efficiency and the demands of most real-world scenarios, DeepSeek-VL incorporates a hybrid vision encoder that efficiently processes high-resolution images (1024 x 1024), while maintaining a relatively low computational overhead.Starting Price: Free -
16
Qwen3.5
Alibaba
Qwen3.5 is a next-generation open-weight multimodal large language model designed to power native vision-language agents. The flagship release, Qwen3.5-397B-A17B, combines a hybrid linear attention architecture with sparse mixture-of-experts, activating only 17 billion parameters per forward pass out of 397 billion total to maximize efficiency. It delivers strong benchmark performance across reasoning, coding, multilingual understanding, visual reasoning, and agent-based tasks. The model expands language support from 119 to 201 languages and dialects while introducing a 1M-token context window in its hosted version, Qwen3.5-Plus. Built for multimodal tasks, it processes text, images, and video with advanced spatial reasoning and tool integration. Qwen3.5 also incorporates scalable reinforcement learning environments to improve general agent capabilities. Designed for developers and enterprises, it enables efficient, tool-augmented, multimodal AI workflows.Starting Price: Free -
17
Qwen3.5-Plus
Alibaba
Qwen3.5-Plus is a high-performance native vision-language model designed for efficient text generation, deep reasoning, and multimodal understanding. Built on a hybrid architecture that combines linear attention with a sparse mixture-of-experts design, it delivers strong performance while optimizing inference efficiency. The model supports text, image, and video inputs and produces text outputs, making it suitable for complex multimodal workflows. With a massive 1 million token context window and up to 64K output tokens, Qwen3.5-Plus enables long-form reasoning and large-scale document analysis. It includes advanced capabilities such as structured outputs, function calling, web search, and tool integration via the Responses API. The model supports prefix continuation, caching, batch processing, and fine-tuning for flexible deployment. Designed for developers and enterprises, Qwen3.5-Plus provides scalable, high-throughput AI performance with OpenAI-compatible API access.Starting Price: $0.4 per 1M tokens -
18
DeepSeek-OCR
DeepSeek
DeepSeek-OCR is an open source model for Contexts Optical Compression, built to explore the boundaries of visual-text compression and investigate the role of vision encoders from an LLM-centric viewpoint. It is designed to compress long contexts through optical 2D mapping, using DeepEncoder as the core engine and DeepSeek3B-MoE-A570M as the decoder. DeepEncoder maintains low activations under high-resolution input while achieving high compression ratios, keeping the number of vision tokens manageable for document understanding. The model supports OCR and document parsing workflows for images and PDFs, with inference through vLLM or Transformers. Users can run image OCR with streaming output, process PDFs with high concurrency, or run batch evaluation for benchmarks. DeepSeek-OCR can convert documents to Markdown, perform free OCR without layouts, parse figures, describe images in detail, and locate referenced text inside an image.Starting Price: Free -
19
PaliGemma 2
Google
PaliGemma 2, the next evolution in tunable vision-language models, builds upon the performant Gemma 2 models, adding the power of vision and making it easier than ever to fine-tune for exceptional performance. With PaliGemma 2, these models can see, understand, and interact with visual input, opening up a world of new possibilities. It offers scalable performance with multiple model sizes (3B, 10B, 28B parameters) and resolutions (224px, 448px, 896px). PaliGemma 2 generates detailed, contextually relevant captions for images, going beyond simple object identification to describe actions, emotions, and the overall narrative of the scene. Our research demonstrates leading performance in chemical formula recognition, music score recognition, spatial reasoning, and chest X-ray report generation, as detailed in the technical report. Upgrading to PaliGemma 2 is a breeze for existing PaliGemma users. -
20
Unsiloed
Unsiloed.ai
Unsiloed AI is a document processing platform that turns PDFs, images, spreadsheets, scans, and other unstructured files into JSON and Markdown that LLMs and AI agents can use. The platform acts as a document layer for enterprise AI, helping teams parse, extract, and split complex documents without relying on brittle OCR pipelines. Its proprietary dual-stream vision models read both content and layout, preserving tables, figures, forms, signatures, handwriting, hierarchy, and document structure. Unsiloed can extract structured fields into JSON, convert documents into LLM-ready Markdown, and split multi-document files or long documents into retrievable chunks. The platform supports workflows across financial reports, legal contracts, invoices, healthcare records, regulatory filings, scanned documents, spreadsheets, and mixed-layout enterprise files. -
21
GLM-4.1V
Z.ai
GLM-4.1V is a vision-language model, providing a powerful, compact multimodal model designed for reasoning and perception across images, text, and documents. The 9-billion-parameter variant (GLM-4.1V-9B-Thinking) is built on the GLM-4-9B foundation and enhanced through a specialized training paradigm using Reinforcement Learning with Curriculum Sampling (RLCS). It supports a 64k-token context window and accepts high-resolution inputs (up to 4K images, any aspect ratio), enabling it to handle complex tasks such as optical character recognition, image captioning, chart and document parsing, video and scene understanding, GUI-agent workflows (e.g., interpreting screenshots, recognizing UI elements), and general vision-language reasoning. In benchmark evaluations at the 10 B-parameter scale, GLM-4.1V-9B-Thinking achieved top performance on 23 of 28 tasks.Starting Price: Free -
22
Parsebridge
Parsebridge
Product information: Parsebridge is a PDF parsing API that transforms PDFs into clean, structured Markdown. It extracts text, tables, and data from PDF documents with a powerful API built for developers who need reliable document parsing at scale. Complex PDFs, tables, multi-column layouts, nested structures, and scanned pages are handled in one API call, turning the hard parts that usually break other parsers into Markdown you can actually use. Merged cells, nested headers, and complex layouts are parsed correctly instead of coming back garbled. Parsebridge supports live testing by pasting a PDF URL or uploading a PDF to the preview page-one Markdown without an account. It currently supports PDF files only, focusing on extraction quality for PDF documents, with files up to 100MB supported. Under the hood, Parsebridge uses Docling, an open source parser known for table extraction and layout preservation, while the platform handles infrastructure, OCR, scaling, and the API layer on top.Starting Price: $17 per month -
23
Florence-2
Microsoft
Florence-2-large is an advanced vision foundation model developed by Microsoft, capable of handling a wide variety of vision and vision-language tasks, such as captioning, object detection, segmentation, and OCR. Built with a sequence-to-sequence architecture, it uses the FLD-5B dataset containing over 5 billion annotations and 126 million images to master multi-task learning. Florence-2-large excels in both zero-shot and fine-tuned settings, providing high-quality results with minimal training. The model supports tasks including detailed captioning, object detection, and dense region captioning, and can process images with text prompts to generate relevant responses. It offers great flexibility by handling diverse vision-related tasks through prompt-based approaches, making it a competitive tool in AI-powered visual tasks. The model is available on Hugging Face with pre-trained weights, enabling users to quickly get started with image processing and task execution.Starting Price: Free -
24
ADEPT UA
CDP Communications
ADEPT UA by CDP Communications delivers high-volume document accessibility for enterprise outputs like statements and contracts. Unlike traditional, template-based solutions, ADEPT UA leverages a modern "accessibility rule set" to dynamically adapt document structures for PDF/UA and WCAG compliance. This architecture ensures greater reliability and easier maintenance, especially for large-scale document flows. With high-throughput batch processing and REST API integration, ADEPT UA enables real-time accessibility, transforming both live and archived files into standards-compliant, accessible formats ideal for critical enterprise communications. -
25
GLM-4.5V
Z.ai
GLM-4.5V builds on the GLM-4.5-Air foundation, using a Mixture-of-Experts (MoE) architecture with 106 billion total parameters and 12 billion activation parameters. It achieves state-of-the-art performance among open-source VLMs of similar scale across 42 public benchmarks, excelling in image, video, document, and GUI-based tasks. It supports a broad range of multimodal capabilities, including image reasoning (scene understanding, spatial recognition, multi-image analysis), video understanding (segmentation, event recognition), complex chart and long-document parsing, GUI-agent workflows (screen reading, icon recognition, desktop automation), and precise visual grounding (e.g., locating objects and returning bounding boxes). GLM-4.5V also introduces a “Thinking Mode” switch, allowing users to choose between fast responses or deeper reasoning when needed.Starting Price: Free -
26
LlamaParse
LlamaIndex
LlamaParse is a cutting-edge document parsing service that transforms complex documents into LLM-ready formats with unparalleled accuracy. Whether you're dealing with financial reports, research papers, or technical manuals, LlamaParse streamlines your document processing workflow, enabling you to focus on leveraging your data rather than wrangling it. It supports a wide range of file types, including PDFs, DOCX, PPTX, XLSX, JPEG, HTML, EPUB, and XML. LlamaParse offers multiple parsing modes to tackle diverse document challenges: Fast/Accurate mode excels at text and tables, Multimodal mode shines with visually complex documents, and Premium mode provides ultimate parsing power to handle any document type, giving the most accurate and comprehensive results. The platform provides unparalleled flexibility to tailor to your specific needs, allowing you to choose output formats, focus on specific document areas, and leverage natural language parsing instructions. -
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Parsie
Parsie
Parsie is an advanced AI-driven document parsing tool that extracts key data from PDFs, Word documents, images, and emails with high accuracy. Whether you're processing resumes, invoices, contracts, or reports, Parsie automates tedious manual data entry, helping businesses streamline operations and save time. How It Works ✅ Upload – Simply drag and drop PDFs, Word files, or images. ✅ AI Extraction – Our AI automatically detects and extracts key information. ✅ Export & Integrate – Download structured data in CSV, JSON, or sync it via API, Google Sheets, or Zapier. Key Features 🔹 AI-Powered OCR – Reads and extracts text from scanned documents and images with high accuracy. 🔹 Custom Extraction Rules – Define exactly what data you need, no coding required. 🔹 Schema Generation – AI suggests structured formats for your extracted data. 🔹 API Access – Automate parsing and integrate it into your workflow. 🔹 Batch Processing – Process multiple documents at once to extract dataStarting Price: $12 -
28
Ailiverse NeuCore
Ailiverse
Build & scale with ease. With NeuCore you can develop, train and deploy your computer vision model in a few minutes and scale it to millions. A one-stop platform that manages the model lifecycle, including development, training, deployment, and maintenance. Advanced data encryption is applied to protect your information at all stages of the process, from training to inference. Fully integrable vision AI models fit into your existing workflows and systems, or even edge devices easily. Seamless scalability accommodates your growing business needs and evolving business requirements. Divides an image into segments of different objects within the image. Extracts text from images, making it machine-readable. This model also works on handwriting. With NeuCore, building computer vision models is as easy as drag-and-drop and one-click. For more customization, advanced users can access provided code scripts and follow tutorial videos. -
29
Contextually
Contextually
Contextually is an enterprise AI platform designed to help organizations build and deploy production-ready AI agents that can reason over complex, domain-specific data using advanced context engineering. It provides a unified context layer that connects AI models to large volumes of enterprise knowledge, including documents, databases, and multimodal data, enabling agents to deliver accurate, grounded, and relevant outputs. It allows users to define and configure agents quickly through prebuilt templates, natural language prompts, or a visual drag-and-drop interface, supporting both dynamic agents and structured workflows tailored to specific use cases. It includes tools for ingesting and processing massive datasets from multiple sources, transforming unstructured and structured information into retrievable knowledge with intelligent parsing, metadata generation, and continuous updates. -
30
Doctly
Doctly
Doctly.ai is an AI-powered PDF parser that accurately extracts text, tables, figures, and charts from complex documents, converting PDFs into structured Markdown ready for AI applications or workflows. It features intelligent model selection, automatically determining the best parsing approach based on the complexity of each page, ensuring accurate results across various document types, from simple text-based PDFs to intricate multi-column layouts with embedded graphics. Doctly generates well-structured markdown output, making it suitable for integration into various AI applications. With advanced feature detection capabilities, it employs techniques to accurately identify and extract a variety of structural elements within PDFs, optimizing the content for further use. The tool provides a straightforward solution for users seeking efficient PDF data extraction and processing. Starting Price: $0.02 per page -
31
Command A Reasoning
Cohere AI
Command A Reasoning is Cohere’s most advanced enterprise-ready language model, engineered for high-stakes reasoning tasks and seamless integration into AI agent workflows. The model delivers exceptional reasoning performance, efficiency, and controllability, scaling across multi-GPU setups with support for up to 256,000-token context windows, ideal for handling long documents and multi-step agentic tasks. Organizations can fine-tune output precision and latency through a token budget, allowing a single model to flexibly serve both high-accuracy and high-throughput use cases. It powers Cohere’s North platform with leading benchmark performance and excels in multilingual contexts across 23 languages. Designed with enterprise safety in mind, it balances helpfulness with robust safeguards against harmful outputs. A lightweight deployment option allows running the model securely on a single H100 or A100 GPU, simplifying private, scalable use. -
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Mistral OCR 4
Mistral AI
Mistral OCR 4 is a document extraction and understanding model built for enterprise search, RAG, domain-specific retrieval pipelines, and production-grade document intelligence. It extracts and structures content from a wide range of documents, moving beyond clean text and tables to return a structured representation of each page. Alongside extracted text, OCR 4 provides bounding boxes, typed-block classification, and inline confidence scores, helping downstream systems understand not only what the document says, but where each element sits, what role it plays, and how confident the model is in each region. Bounding boxes make in-context highlighting and reliable data pipelines possible, while block types and confidence scores support source-grounded citations, redactions, and human-in-the-loop verification. OCR 4 accepts common enterprise formats, including PDF, DOC, PPT, and OpenDocument, and supports 170 languages across 10 language groups.Starting Price: $2 per 1000 pages -
33
Perplexity Search API
Perplexity AI
Perplexity has launched the Perplexity Search API, giving developers access to the same global-scale indexing and retrieval infrastructure that powers Perplexity’s public answer engine. The API indexes hundreds of billions of webpages and is optimized for the unique demands of AI workflows; it breaks documents into fine-grained subunits so that responses return highly relevant snippets already ranked against the original query, reducing preprocessing and improving downstream performance. To maintain freshness, the index processes tens of thousands of updates every second using an AI-driven content understanding module that dynamically parses web content and iteratively self-improves via real-time query feedback. The API returns rich, structured responses suitable for both AI agents and traditional apps, rather than limited, document-level outputs. Alongside the API, Perplexity is releasing an SDK, an open source evaluation framework, and detailed research into their design. -
34
PaperWork
PaperWork
PaperWork is a document AI platform for financial services and operations teams that need to process documents faster without losing control. It extracts structured data from bank statements, invoices, receipts, IDs, and other business documents, then helps teams review, validate, and export the results for downstream workflows. PaperWork supports OCR, document parsing, bank statement analysis, identity verification, invoice processing, fraud review, webhooks, human-in-the-loop workflows, cloud API usage, managed workflows, mobile SDK use cases, and licensed private deployments. It is headquartered in Dubai and built for UAE financial workflows while expanding to international markets.Starting Price: Custom pricing -
35
ScrapFly
ScrapFly
Scrapfly offers a suite of APIs designed to streamline web data collection for developers. Their web scraping API enables efficient extraction of web pages, handling challenges like anti-scraping measures and JavaScript rendering. The Extraction API utilizes AI and large language models to parse documents and extract structured data, while the screenshot API allows for capturing high-quality visuals of web pages. These tools are built to scale, ensuring reliability and performance as data needs grow. Scrapfly also provides comprehensive documentation, SDKs in Python and TypeScript, and integrations with platforms like Zapier and Make to facilitate seamless integration into various workflows.Starting Price: $30 per month -
36
Kaaj
Kaaj
Kaaj is an underwriting OS for SMB lending, built with AI agents that turn messy borrower packages into decision-ready credit analysis in minutes. It is designed for small business lenders that need to process applications, broker emails, documents, bank statements, invoices, financials, and business verification signals without forcing a rip-and-replace of their existing CRM or loan origination system. Teams can forward emails, accept applications through a Kaaj form, or pipe structured data through the API, and Kaaj reads the package, parses documents, verifies the business, analyzes financials, drafts credit memos, and sends results into the Kaaj portal or the lender’s system of record. Its Document Intelligence reads handwritten, typed, scanned, photographed, PDF, Word, image, spreadsheet, and statement files, returning clean, auditable structured data that underwriters can actually use. -
37
Claude Opus 4.7
Anthropic
Claude Opus 4.7 is the latest Anthropic AI model release designed to significantly improve performance in advanced software engineering and complex problem-solving tasks. It builds upon the previous Opus 4.6 model by delivering stronger results on difficult coding challenges and long-running workflows. The model is known for its ability to follow instructions precisely and verify its own outputs for greater reliability. It also introduces enhanced multimodal capabilities, particularly in processing high-resolution images with improved accuracy. Opus 4.7 supports more detailed visual tasks such as analyzing dense screenshots and extracting data from complex diagrams. In professional settings, it produces higher-quality outputs including documents, presentations, and user interfaces. The model includes updated safety features that detect and block high-risk cybersecurity-related requests.Starting Price: $5 per million tokens (input) -
38
Kimi K2.5
Moonshot AI
Kimi K2.5 is a next-generation multimodal AI model designed for advanced reasoning, coding, and visual understanding tasks. It features a native multimodal architecture that supports both text and visual inputs, enabling image and video comprehension alongside natural language processing. Kimi K2.5 delivers open-source state-of-the-art performance in agent workflows, software development, and general intelligence tasks. The model offers ultra-long context support with a 256K token window, making it suitable for large documents and complex conversations. It includes long-thinking capabilities that allow multi-step reasoning and tool invocation for solving challenging problems. Kimi K2.5 is fully compatible with the OpenAI API format, allowing developers to switch seamlessly with minimal changes. With strong performance, flexibility, and developer-focused tooling, Kimi K2.5 is built for production-grade AI applications.Starting Price: Free -
39
Tensorlake
Tensorlake
Tensorlake is the AI data cloud that reliably transforms data from unstructured sources into ingestion-ready formats for AI applications. It seamlessly converts documents, images, and slides into structured JSON or markdown chunks, ready for retrieval and analysis by LLMs. The document ingestion APIs parse any file type, from hand-written notes to PDFs to complex spreadsheets, performing post-processing steps like chunking and preserving the reading order and layout of the documents. Tensorlake's serverless workflows enable lightning-fast, end-to-end data processing, allowing users to build and deploy fully managed Workflow APIs in Python that scale down to zero when idle and scale up when processing data. It supports processing millions of documents at once, maintaining context and relationships between various data formats, and offers secure, role-based access control for effective team collaboration.Starting Price: $0.01 per page -
40
dOCR
dOCR, Inc.
dOCR is a document data-extraction API and dashboard. You send a document — a PDF, image, scan, or Word file — and dOCR returns structured JSON with the fields you need, not raw OCR text. It ships with 15+ built-in document types (invoices, receipts, bank statements, pay stubs, W-2s, 1099s, driver's licenses, passports, utility bills) and supports custom types. Developers integrate via a REST API with webhooks, IP allowlisting, and a choice of processing modes (highest quality or fastest); non-technical users extract ad-hoc through the web dashboard. Powered by vision LLMs (Claude Opus, Gemini) and OCR — no parsing pipelines to build or maintain. Free tier: 50 pages/month.Starting Price: $49/month -
41
Firecrawl
Firecrawl
Firecrawl is a web data platform that enables developers and AI applications to search, scrape, and interact with websites at scale through a unified API. The platform extracts clean, structured content from web pages and delivers it in formats such as Markdown, JSON, screenshots, and other machine-readable outputs. Designed specifically for AI agents, Firecrawl allows systems to access real-time web information, navigate websites, and automate data collection workflows. It supports advanced features including JavaScript rendering, smart waiting, media parsing, and interactive page actions such as clicking, typing, and scrolling. Developers can integrate Firecrawl quickly using SDKs, APIs, MCP clients, and open-source tools. Trusted by thousands of companies, the platform helps organizations build reliable AI-powered applications that depend on accurate and accessible web data.Starting Price: $16 per month -
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Parseflow
Parseflow
Stop manual data entry; extract structured data & integrate it with everything. Parseflow offers a wide range of options for importing your documents for parsing. Forward your emails and attachments to Parseflow's inbox. Import your documents from your favorite apps. Specify your fields and watch Parseflow automate. Accelerate your workflow, intelligent extraction suggestions speed up your process. Powering accurate and fast data extraction. Parseflow automates data extraction from emails and files. Export to Zoho, Xero, Tally, and thousands of other apps. Export parsed data to your favorite apps and platforms. Fast data extraction with our OCR & AI engine. Set up takes just a few minutes. No coding is required, no classification, and no custom model training is necessary. Extract data even from documents you've never seen before. With instructions and support, just describe the data you need in plain language.Starting Price: $34 per month -
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Hirize
Hirize
Experience the power of Hirize, an AI-powered document intelligence company. Stands out as the industry leader by providing sophisticated APIs that ensure document parsing with an impressive accuracy rate of 95%. Powered by OCR (Optical Character Recognition), NLP (Natural Language Processing), and Deep-Learning AI technologies. - Parse data from any file format incl., docx, pdf, jpeg, etc - Seamless integration: API key or Zapier. - Empowers businesses from diverse sectors, including Applicant Tracking Systems (ATS), employment platforms, and accounting software - Parse and translate in 24+ languages on the fly. Transform job or candidate data into XML or JSON output effortlessly.Starting Price: $79 per month -
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Ming-Flash Omni 2.0
Ant Group
Ming-Flash Omni 2.0 is a full-modal large language model from Ant Group, built on a unified multimodal architecture with “modal unity + task unity” as its core design philosophy. As part of the Ming series, it is designed to achieve cross-modal understanding and generation across text, images, audio, and video, allowing one model to see, hear, speak, and draw instead of relying on multiple specialized models. Ming-Flash Omni 2.0 follows the evolution of Ming-Light Omni and Ming-Flash Omni Preview, moving from unified architecture validation and hundred-billion-parameter scaling to a Data Scaling strategy that achieves open-source SOTA performance on multiple benchmarks. The model integrates four core capability modules: image-text understanding, video analysis, speech synthesis, and image generation or editing. For image-text understanding, Ming introduces structured knowledge graphs for fine-grained visual perception. -
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Send AI
Send AI
Cut significant costs on your document handling. Tackling incoming documents can be a daunting task for businesses, but with Send AI, you're in control. Our software empowers you to train and configure your own vision and language models to extract all the information right into your systems, fast. Benefit from finely tuned classification, extraction, and custom validation logic tailored to your unique needs. Parse, classify, extract, validate, and export data. Connect via secure APIs or send your documents over email. Upon arrival, Send AI makes several visual enhancements before sending them to our language models. Detect document types and extract key information using language models that are fine-tuned for you and for you alone. Guarantee 99.99% export accuracy by applying custom logic to validate the predictions. Structure and enrich the data to fit right into your systems. Reduce manual copy and paste work to an absolute minimum with machine-level precision. -
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Ray2
Luma AI
Ray2 is a large-scale video generative model capable of creating realistic visuals with natural, coherent motion. It has a strong understanding of text instructions and can take images and video as input. Ray2 exhibits advanced capabilities as a result of being trained on Luma’s new multi-modal architecture scaled to 10x compute of Ray1. Ray2 marks the beginning of a new generation of video models capable of producing fast coherent motion, ultra-realistic details, and logical event sequences. This increases the success rate of usable generations and makes videos generated by Ray2 substantially more production-ready. Text-to-video generation is available in Ray2 now, with image-to-video, video-to-video, and editing capabilities coming soon. Ray2 brings a whole new level of motion fidelity. Smooth, cinematic, and jaw-dropping, transform your vision into reality. Tell your story with stunning, cinematic visuals. Ray2 lets you craft breathtaking scenes with precise camera movements.Starting Price: $9.99 per month -
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Automat
Automat
Extract and retrieve information from variable content in any document structure PDF extraction without a predefined structure, extracting data from free-form text, tables, and other unstructured elements. Easily parse large documents and extract relevant information based on your specific request Use VLMs to analyze images input from order forms, licenses or other open ended documents. Automate, CRM integrations, invoice filing, email responses, or summarize meeting notes. Attended and unattended bots within days not months. -
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Mistral Document AI
Mistral AI
Mistral Document AI is an enterprise-grade document processing solution that combines advanced Optical Character Recognition (OCR) with structured data extraction capabilities. It achieves over 99% accuracy in extracting and understanding complex text, handwriting, tables, and images from various documents across global languages. It can process up to 2,000 pages per minute on a single GPU, offering minimal latency and cost-efficient throughput. Mistral Document AI integrates OCR with powerful AI tooling to enable flexible, full document lifecycle workflows, making archives instantly accessible. It supports annotations, allowing users to extract information in a structured JSON format, and combines OCR with large language model capabilities to enable natural language interaction with document content. This allows for tasks such as question answering about specific document content, information extraction, and summarization, and context-aware responses.Starting Price: $14.99 per month -
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Hive Data
Hive
Create training datasets for computer vision models with our fully managed solution. We believe that data labeling is the most important factor in building effective deep learning models. We are committed to being the field's leading data labeling platform and helping companies take full advantage of AI's capabilities. Organize your media with discrete categories. Identify items of interest with one or many bounding boxes. Like bounding boxes, but with additional precision. Annotate objects with accurate width, depth, and height. Classify each pixel of an image. Mark individual points in an image. Annotate straight lines in an image. Measure, yaw, pitch, and roll of an item of interest. Annotate timestamps in video and audio content. Annotate freeform lines in an image.Starting Price: $25 per 1,000 annotations -
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Pixtral Large
Mistral AI
Pixtral Large is a 124-billion-parameter open-weight multimodal model developed by Mistral AI, building upon their Mistral Large 2 architecture. It integrates a 123-billion-parameter multimodal decoder with a 1-billion-parameter vision encoder, enabling advanced understanding of documents, charts, and natural images while maintaining leading text comprehension capabilities. With a context window of 128,000 tokens, Pixtral Large can process at least 30 high-resolution images simultaneously. The model has demonstrated state-of-the-art performance on benchmarks such as MathVista, DocVQA, and VQAv2, surpassing models like GPT-4o and Gemini-1.5 Pro. Pixtral Large is available under the Mistral Research License for research and educational use, and under the Mistral Commercial License for commercial applications.Starting Price: Free