Alternatives to Mistral OCR 3

Compare Mistral OCR 3 alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Mistral OCR 3 in 2026. Compare features, ratings, user reviews, pricing, and more from Mistral OCR 3 competitors and alternatives in order to make an informed decision for your business.

  • 1
    PrecisionOCR
    PrecisionOCR is a ready-to-use, secure, HIPAA-compliant, cloud-based platform for extracting medical meaning from unstructured documents using Optical Character Recognition (OCR). PrecisionOCR uses custom Optical Character Recognition and AI algorithms to convert PDFs/JPEGs/PNGs into structured, searchable documents. Organizations can work with our team to build OCR report extractors which look for specific types of information to extract or highlight to reduce the noise that comes from extracting all of the data within a document. Natural language processing (NLP) and machine learning (ML) power the semi-automated and automated transformation of source material such as pdfs or images into structured data records that integrate seamlessly with EMR data using HL7s FHIR standards. Data can be automatically stored along side patient records. Our OCR document classification is also available along with multiple ways to integrate including API and CLI support.
    Starting Price: $0.50/Page
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    Mistral AI

    Mistral AI

    Mistral AI

    Mistral AI is a pioneering artificial intelligence startup specializing in open-source generative AI. The company offers a range of customizable, enterprise-grade AI solutions deployable across various platforms, including on-premises, cloud, edge, and devices. Flagship products include "Le Chat," a multilingual AI assistant designed to enhance productivity in both personal and professional contexts, and "La Plateforme," a developer platform that enables the creation and deployment of AI-powered applications. Committed to transparency and innovation, Mistral AI positions itself as a leading independent AI lab, contributing significantly to open-source AI and policy development.
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    Mistral Document 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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    Mistral OCR

    Mistral OCR

    Mistral AI

    Mistral AI's Document Capabilities provide a powerful set of tools for understanding, summarizing, and generating content from complex documents using advanced AI models. Designed for developers and businesses, these capabilities allow users to process large volumes of text efficiently, extracting key information, generating concise summaries, and even drafting new content based on the original document. By leveraging state-of-the-art language models, Mistral enables organizations to automate document-heavy workflows, from legal reviews and contract analysis to research paper summaries and business reports. The API allows seamless integration into existing systems, enabling real-time document processing and analysis. Mistral’s Document capabilities are especially suited for scenarios where quick comprehension of lengthy or technical materials is critical, reducing the time spent on manual reading and review.
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    Mistral Small 3.1
    ​Mistral Small 3.1 is a state-of-the-art, multimodal, and multilingual AI model released under the Apache 2.0 license. Building upon Mistral Small 3, this enhanced version offers improved text performance, and advanced multimodal understanding, and supports an expanded context window of up to 128,000 tokens. It outperforms comparable models like Gemma 3 and GPT-4o Mini, delivering inference speeds of 150 tokens per second. Designed for versatility, Mistral Small 3.1 excels in tasks such as instruction following, conversational assistance, image understanding, and function calling, making it suitable for both enterprise and consumer-grade AI applications. Its lightweight architecture allows it to run efficiently on a single RTX 4090 or a Mac with 32GB RAM, facilitating on-device deployments. It is available for download on Hugging Face, accessible via Mistral AI's developer playground, and integrated into platforms like Google Cloud Vertex AI, with availability on NVIDIA NIM and
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    Pixtral Large

    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.
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    DocuPipe

    DocuPipe

    DocuPipe

    DocuPipe is an AI-powered document intelligence platform that turns virtually any document into a reliably structured data object. It handles complex formats, handwritten notes, nested tables, checkboxes, multilingual text—and converts the content into consistent JSON or database records. You define what you need with custom schemas and upload PDFs, images or scans, and DocuPipe’s pipeline handles document type classification, OCR, table extraction, form parsing, and schema-based standardization. It supports use cases such as invoices, contracts, loan applications, medical records, purchase orders and receipts. The REST API enables full automation; upload a file, wait a few seconds, then retrieve a parsed text result or standardized JSON according to your schema. DocuPipe emphasizes security and compliance, documents are encrypted in transit and at rest, and the platform is SOC-2, ISO 27001, HIPAA and GDPR-ready.
    Starting Price: $99 per month
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    Mistral Large

    Mistral Large

    Mistral AI

    Mistral Large is Mistral AI's flagship language model, designed for advanced text generation and complex multilingual reasoning tasks, including text comprehension, transformation, and code generation. It supports English, French, Spanish, German, and Italian, offering a nuanced understanding of grammar and cultural contexts. With a 32,000-token context window, it can accurately recall information from extensive documents. The model's precise instruction-following and native function-calling capabilities facilitate application development and tech stack modernization. Mistral Large is accessible through Mistral's platform, Azure AI Studio, and Azure Machine Learning, and can be self-deployed for sensitive use cases. Benchmark evaluations indicate that Mistral Large achieves strong results, making it the world's second-ranked model generally available through an API, next to GPT-4.
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    Mistral Medium 3
    Mistral Medium 3 is a powerful AI model designed to deliver state-of-the-art performance at a fraction of the cost compared to other models. It offers simpler deployment options, allowing for hybrid or on-premises configurations. Mistral Medium 3 excels in professional applications like coding and multimodal understanding, making it ideal for enterprise use. Its low-cost structure makes it highly accessible while maintaining top-tier performance, outperforming many larger models in specific domains.
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    Mistral Large 3
    Mistral Large 3 is a next-generation, open multimodal AI model built with a powerful sparse Mixture-of-Experts architecture featuring 41B active parameters out of 675B total. Designed from scratch on NVIDIA H200 GPUs, it delivers frontier-level reasoning, multilingual performance, and advanced image understanding while remaining fully open-weight under the Apache 2.0 license. The model achieves top-tier results on modern instruction benchmarks, positioning it among the strongest permissively licensed foundation models available today. With native support across vLLM, TensorRT-LLM, and major cloud providers, Mistral Large 3 offers exceptional accessibility and performance efficiency. Its design enables enterprise-grade customization, letting teams fine-tune or adapt the model for domain-specific workflows and proprietary applications. Mistral Large 3 represents a major advancement in open AI, offering frontier intelligence without sacrificing transparency or control.
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    Mistral Small

    Mistral Small

    Mistral AI

    On September 17, 2024, Mistral AI announced several key updates to enhance the accessibility and performance of their AI offerings. They introduced a free tier on "La Plateforme," their serverless platform for tuning and deploying Mistral models as API endpoints, enabling developers to experiment and prototype at no cost. Additionally, Mistral AI reduced prices across their entire model lineup, with significant cuts such as a 50% reduction for Mistral Nemo and an 80% decrease for Mistral Small and Codestral, making advanced AI more cost-effective for users. The company also unveiled Mistral Small v24.09, a 22-billion-parameter model offering a balance between performance and efficiency, suitable for tasks like translation, summarization, and sentiment analysis. Furthermore, they made Pixtral 12B, a vision-capable model with image understanding capabilities, freely available on "Le Chat," allowing users to analyze and caption images without compromising text-based performance.
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    Voxtral

    Voxtral

    Mistral AI

    Voxtral models are frontier open source speech‑understanding systems available in two sizes—a 24 B variant for production‑scale applications and a 3 B variant for local and edge deployments, both released under the Apache 2.0 license. They combine high‑accuracy transcription with native semantic understanding, supporting long‑form context (up to 32 K tokens), built‑in Q&A and structured summarization, automatic language detection across major languages, and direct function‑calling to trigger backend workflows from voice. Retaining the text capabilities of their Mistral Small 3.1 backbone, Voxtral handles audio up to 30 minutes for transcription or 40 minutes for understanding and outperforms leading open source and proprietary models on benchmarks such as LibriSpeech, Mozilla Common Voice, and FLEURS. Accessible via download on Hugging Face, API endpoint, or private on‑premises deployment, Voxtral also offers domain‑specific fine‑tuning and advanced enterprise features.
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    Mistral Medium 3.1
    Mistral Medium 3.1 is the latest frontier-class multimodal foundation model released in August 2025, designed to deliver advanced reasoning, coding, and multimodal capabilities while dramatically reducing deployment complexity and costs. It builds on the highly efficient architecture of Mistral Medium 3, renowned for offering state-of-the-art performance at up to 8-times lower cost than leading large models, enhancing tone consistency, responsiveness, and accuracy across diverse tasks and modalities. The model supports deployment across hybrid environments, on-premises systems, and virtual private clouds, and it achieves competitive performance relative to high-end models such as Claude Sonnet 3.7, Llama 4 Maverick, and Cohere Command A. Ideal for professional and enterprise use cases, Mistral Medium 3.1 excels in coding, STEM reasoning, language understanding, and multimodal comprehension, while maintaining broad compatibility with custom workflows and infrastructure.
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    Blox.ai

    Blox.ai

    Blox.ai

    Business data is usually present in different formats, across sources. A lot of business data is unstructured and semi-structured. IDP (Intelligent Document Processing) leverages AI, along with programmable automation (such as repetitive tasks), to convert data into usable, structured formats, and for consumption by downstream systems.Using Natural Language Processing (NLP), Computer Vision (CV), Optical Character Recognition (OCR) and machine learning tools, Blox.ai identifies, labels and extracts relevant data from any type of document. The AI then maps this extracted information into a structured format while configuring a model which can be applied to all similar document types. The Blox.ai stack is set up to reconcile the data based on business requirements and to push the output to downstream systems automatically.
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    Yandex Vision
    Yandex Vision OCR recognizes text in an image and outputs it along with automatic punctuation. The service supports and automatically identifies more than 50 languages. Extract standard fields and recognize text in templates and documents, e.g., passports, driver’s licenses, vehicle registration certificates, and license plates. With support for Russian and English, as well as combinations of handwritten and printed texts. The service scans the table structure and outputs text in row and column coordinates. Optical character recognition (OCR), document recognition, and license plate number recognition. Yandex Vision OCR allows you to work with JPEG, PNG, and PDF formats. File sizes should be no larger than 20 MB with no more than 300 pages per file. The service can scan images and find passports from 20 countries, driver’s licenses, vehicle registration documents, and license plates.
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    Mistral 7B

    Mistral 7B

    Mistral AI

    Mistral 7B is a 7.3-billion-parameter language model that outperforms larger models like Llama 2 13B across various benchmarks. It employs Grouped-Query Attention (GQA) for faster inference and Sliding Window Attention (SWA) to efficiently handle longer sequences. Released under the Apache 2.0 license, Mistral 7B is accessible for deployment across diverse platforms, including local environments and major cloud services. Additionally, a fine-tuned version, Mistral 7B Instruct, demonstrates enhanced performance in instruction-following tasks, surpassing models like Llama 2 13B Chat.
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    Ministral 3B

    Ministral 3B

    Mistral AI

    Mistral AI introduced two state-of-the-art models for on-device computing and edge use cases, named "les Ministraux": Ministral 3B and Ministral 8B. These models set a new frontier in knowledge, commonsense reasoning, function-calling, and efficiency in the sub-10B category. They can be used or tuned for various applications, from orchestrating agentic workflows to creating specialist task workers. Both models support up to 128k context length (currently 32k on vLLM), and Ministral 8B features a special interleaved sliding-window attention pattern for faster and memory-efficient inference. These models were built to provide a compute-efficient and low-latency solution for scenarios such as on-device translation, internet-less smart assistants, local analytics, and autonomous robotics. Used in conjunction with larger language models like Mistral Large, les Ministraux also serve as efficient intermediaries for function-calling in multi-step agentic workflows.
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    Mistral NeMo

    Mistral NeMo

    Mistral AI

    Mistral NeMo, our new best small model. A state-of-the-art 12B model with 128k context length, and released under the Apache 2.0 license. Mistral NeMo is a 12B model built in collaboration with NVIDIA. Mistral NeMo offers a large context window of up to 128k tokens. Its reasoning, world knowledge, and coding accuracy are state-of-the-art in its size category. As it relies on standard architecture, Mistral NeMo is easy to use and a drop-in replacement in any system using Mistral 7B. We have released pre-trained base and instruction-tuned checkpoints under the Apache 2.0 license to promote adoption for researchers and enterprises. Mistral NeMo was trained with quantization awareness, enabling FP8 inference without any performance loss. The model is designed for global, multilingual applications. It is trained on function calling and has a large context window. Compared to Mistral 7B, it is much better at following precise instructions, reasoning, and handling multi-turn conversations.
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    Amazon Textract
    Amazon Textract is a fully managed machine learning service that automatically extracts text and data from scanned documents that goes beyond simple optical character recognition (OCR) to identify, understand, and extract data from forms and tables. Many companies today extract data from scanned documents, such as PDF's, tables and forms, through manual data entry (that is slow, expensive and prone to errors), or through simple OCR software that requires manual configuration which needs to be updated each time the form changes to be usable. To overcome these manual processes, Textract uses machine learning to instantly read and process any type of document, accurately extracting text, forms, tables, and, other data without the need for any manual effort or custom code. With Textract you can quickly automate manual document activities, enabling you to process millions of document pages in hours.
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    Ministral 3

    Ministral 3

    Mistral AI

    Mistral 3 is the latest generation of open-weight AI models from Mistral AI, offering a full family of models, from small, edge-optimized versions to a flagship, large-scale multimodal model. The lineup includes three compact “Ministral 3” models (3B, 8B, and 14B parameters) designed for efficiency and deployment on constrained hardware (even laptops, drones, or edge devices), plus the powerful “Mistral Large 3,” a sparse mixture-of-experts model with 675 billion total parameters (41 billion active). The models support multimodal and multilingual tasks, not only text, but also image understanding, and have demonstrated best-in-class performance on general prompts, multilingual conversations, and multimodal inputs. The base and instruction-fine-tuned versions are released under the Apache 2.0 license, enabling broad customization and integration in enterprise and open source projects.
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    Upstage Document Parse
    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
  • 22
    NoteOCR

    NoteOCR

    Versatyl Technologies

    NoteOCR is an AI-powered document digitization platform specializing in high-accuracy conversion of complex handwritten notes and cursive scripts into structured digital formats. While traditional OCR tools often fail with irregular handwriting or lose the original page layout, NoteOCR uses advanced neural recognition to reconstruct your documents exactly as they appeared on paper. Key Functionality: Handwriting Recognition: Highly accurate conversion of messy or cursive handwriting into clean text. Multi-Format Export: Seamlessly export results to .docx or .pdf for easy editing and sharing. User-Centric Limits: Scalable page credits that allow users to process thousands of pages across multiple bundles. Secure History: Create an account to save and manage your digitized notes securely in the cloud. Localized Support: Optimized for regional nuances to improve recognition accuracy globally.
    Starting Price: $8/month
  • 23
    Magistral

    Magistral

    Mistral AI

    Magistral is Mistral AI’s first reasoning‑focused language model family, released in two sizes: Magistral Small, a 24 B‑parameter open‑weight model under Apache 2.0 (downloadable on Hugging Face), and Magistral Medium, a more capable enterprise version available via Mistral’s API, Le Chat platform, and major cloud marketplaces. Built for domain‑specific, transparent, multilingual reasoning across tasks like math, physics, structured calculations, programmatic logic, decision trees, and rule‑based systems, Magistral produces chain‑of‑thought outputs in the user’s language that you can follow and verify. This launch marks a shift toward compact yet powerful transparent AI reasoning. Magistral Medium is currently available in preview on Le Chat, the API, SageMaker, WatsonX, Azure AI, and Google Cloud Marketplace. Magistral is ideal for general-purpose use requiring longer thought processing and better accuracy than with non-reasoning LLMs.
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    Mistral Saba

    Mistral Saba

    Mistral AI

    Mistral Saba is a 24-billion-parameter model trained on meticulously curated datasets from across the Middle East and South Asia. The model provides more accurate and relevant responses than models that are over five times its size while being significantly faster and lower cost. It can also serve as a strong base to train highly specific regional adaptations. Mistral Saba is available as an API and can be deployed locally within customers' security premises. Like the recently released Mistral Small 3, the model is lightweight and can be deployed on single-GPU systems, responding at speeds of over 150 tokens per second. In keeping with the rich cultural cross-pollination between the Middle East and South Asia, Mistral Saba supports Arabic and many Indian-origin languages and is particularly strong in South Indian-origin languages such as Tamil. This capability enhances its versatility in multinational use across these interconnected regions.
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    Mistral Large 2
    Mistral AI has launched the Mistral Large 2, an advanced AI model designed to excel in code generation, multilingual capabilities, and complex reasoning tasks. The model features a 128k context window, supporting dozens of languages including English, French, Spanish, and Arabic, as well as over 80 programming languages. Mistral Large 2 is tailored for high-throughput single-node inference, making it ideal for large-context applications. Its improved performance on benchmarks like MMLU and its enhanced code generation and reasoning abilities ensure accuracy and efficiency. The model also incorporates better function calling and retrieval, supporting complex business applications.
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    Box Extract
    Box Extract is an AI-powered data extraction solution that intelligently identifies, retrieves, and converts structured information from unstructured content such as documents, spreadsheets, PDFs, images, and other file types into metadata that can be stored, searched, and used to automate business processes. It combines advanced large language models, integrated OCR, chain-of-thought prompting, extraction-specific retrieval-augmented generation, and agentic reasoning techniques to understand document meaning and structure with high accuracy, without requiring custom model training or heavy configuration. Users can choose between Standard and Enhanced Extract Agents, handling everything from basic fields like names, dates, and amounts to complex items such as risky clauses, tables, and graphs, and build Custom Extract Agents with configurable metadata templates that run at scale across folders and repositories.
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    Doctly

    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
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    Devstral

    Devstral

    Mistral AI

    Devstral is an open source, agentic large language model (LLM) developed by Mistral AI in collaboration with All Hands AI, specifically designed for software engineering tasks. It excels at navigating complex codebases, editing multiple files, and resolving real-world issues, outperforming all open source models on the SWE-Bench Verified benchmark with a score of 46.8%. Devstral is fine-tuned from Mistral-Small-3.1 and features a long context window of up to 128,000 tokens. It is optimized for local deployment on high-end hardware, such as a Mac with 32GB RAM or an Nvidia RTX 4090 GPU, and is compatible with inference frameworks like vLLM, Transformers, and Ollama. Released under the Apache 2.0 license, Devstral is available for free and can be accessed via Hugging Face, Ollama, Kaggle, Unsloth, and LM Studio.
    Starting Price: $0.1 per million input tokens
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    Sensible

    Sensible

    Sensible

    Sensible is an API-first document-processing platform designed to enable developers and product teams to convert unstructured documents into structured data with minimal overhead. It supports extraction from PDFs, images, emails, and spreadsheets using a combination of LLM-based parsing and visual layout-rule engines. With over 150 pre-configured document-type parsers for common business forms (bank statements, invoices, policy declarations, utility bills, EOBs), organizations can accelerate deployment, while custom configurations allow unique workflows. It offers classification of document types via a dedicated classify endpoint, automatically identifying the form type before extraction, reducing manual pre-routing of files. Integration is straightforward through REST APIs, Webhooks, and SDKs (JavaScript, Python), allowing ingestion of documents in development and production environments with versioning support.
    Starting Price: $449 per month
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    NuOCR

    NuOCR

    Nuvento

    NuOCR is a high-performance optical character recognition system for enterprises that automates data extraction from paper, images or PDF files. After extraction, it enables the user to validate the content and save it to the database or download the content. NuOCR is an intelligent document processing software that converts unstructured information to structured digital data allowing enterprises to power up their CRM capabilities for enhanced customer experience. Manual data collation is a tedious task, in which one minor error can result in mismatching outputs affecting the quality of the data. The solution to this problem lies in an automated data capture system that collects information from any document and gets it right, every time. As an intelligent document processing software, NuOCR converts information on any document, an image file, a paper document, or a pdf document, into quickly accessible, searchable, and error-free digital data.
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    Koncile

    Koncile

    Koncile

    Koncile Extract is an advanced data extraction platform designed to automate and streamline the retrieval of structured information from complex documents. Leveraging AI-powered parsing and deep learning, it enables businesses to extract precise data from PDFs, emails, and scanned documents with unmatched accuracy. Unlike traditional tools, Koncile Extract offers highly customizable extraction rules, allowing users to tailor the process to their unique needs. With seamless integrations into existing workflows, it enhances efficiency and reduces manual processing time—making it an essential tool for data-driven organizations.
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    Palamardocs

    Palamardocs

    Palamardocs

    An Intelligent OCR, Palamardocs is a magical tool that extracts structured data in milliseconds from any type of document. By automating the extraction of business information from paper documents and unstructured electronic documents, Palamardocs creates opportunities for businesses to significantly reduce the costs associated with document processing, data entry, and extraction. Transform enterprise-wide processes and save valuable time and money! Helps you to retrieve or validate texts, figures, form fields, tables, stamps, signatures, and CAD drawings with ready-made models or by setting simple rules and self-created AI models. Human in-the-loop verification inspects, validates, and makes changes to models to improve outcomes each day. Build integrations using clicks-or-code and instantly connect any corporate system or database with our API connectors. Documents are received via emails or API interface and classified for extraction.
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    DigiParser

    DigiParser

    DigiParser

    DigiParser is a document workflow automation platform that simplifies data extraction from documents like invoices, contracts, forms, resumes, and receipts. It uses advanced OCR and machine learning to extract, validate, and process data, converting documents into structured JSON or CSV formats. Users can create custom parsers for their documents, automate workflows, and integrate the extracted data into tools like Zapier, QuickBooks, Xero, Salesforce, Google Sheets, etc. DigiParser supports team collaboration with flexible billing options, allowing multiple team members to work on different parsers. With features like schema customization, review stages, and workflow automation, it ensures high accuracy in data extraction while saving time and reducing manual work.
    Starting Price: $29/month
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    AnyDoc

    AnyDoc

    Hyland

    AnyDoc is a powerful automated data capture software product. It identifies and captures data from incoming documents and streamlines key processes. Minimize data entry Optical character recognition (OCR) captures data from nearly any document, including data from a machine, from handwriting or from barcodes. Shorten business process cycle times Automatically extract and validate data in seconds. Verification procedures use custom business rules to ensure accuracy with minimal human intervention. Expedite data into your workflow Accurately and seamlessly deliver data into content management systems, ERPs, accounting applications or BPM systems. Improve data accuracy Ensure the accuracy of captured information with image enhancement technology, data recognition engines and consistent use of your own business rules.
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    Trellis

    Trellis

    Trellis

    Trellis is an AI-driven solution designed to automate and streamline the processing of unstructured data, particularly documents in PDF format. The platform leverages advanced OCR technology to accurately capture text, tables, and handwriting, converting them into usable, structured data. Trellis is built to scale, offering both API integrations and no-code solutions to meet the needs of businesses across various industries. It supports customizable workflows with auto-schema and the ability to define custom actions, enabling users to automate processes and apply specific rules. The platform provides real-time synchronization with source systems, ensuring that the latest data is always available. Trellis also emphasizes data accuracy with flexible validation parameters, allowing users to set their own rules for consistency. Additionally, Trellis ensures robust security through encryption, SOC II Type-2 compliance, and HIPAA-compliant deployment options.
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    Solar Mini

    Solar Mini

    Upstage AI

    Solar Mini is a pre‑trained large language model that delivers GPT‑3.5‑comparable responses with 2.5× faster inference while staying under 30 billion parameters. It achieved first place on the Hugging Face Open LLM Leaderboard in December 2023 by combining a 32‑layer Llama 2 architecture, initialized with high‑quality Mistral 7B weights, with an innovative “depth up‑scaling” (DUS) approach that deepens the model efficiently without adding complex modules. After DUS, continued pretraining restores and enhances performance, and instruction tuning in a QA format, especially for Korean, refines its ability to follow user prompts, while alignment tuning ensures its outputs meet human or advanced AI preferences. Solar Mini outperforms competitors such as Llama 2, Mistral 7B, Ko‑Alpaca, and KULLM across a variety of benchmarks, proving that compact size need not sacrifice capability.
    Starting Price: $0.1 per 1M tokens
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    Falcon Mamba 7B

    Falcon Mamba 7B

    Technology Innovation Institute (TII)

    Falcon Mamba 7B is the first open-source State Space Language Model (SSLM), introducing a groundbreaking architecture for Falcon models. Recognized as the top-performing open-source SSLM worldwide by Hugging Face, it sets a new benchmark in AI efficiency. Unlike traditional transformers, SSLMs operate with minimal memory requirements and can generate extended text sequences without additional overhead. Falcon Mamba 7B surpasses leading transformer-based models, including Meta’s Llama 3.1 8B and Mistral’s 7B, showcasing superior performance. This innovation underscores Abu Dhabi’s commitment to advancing AI research and development on a global scale.
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    Ministral 8B

    Ministral 8B

    Mistral AI

    Mistral AI has introduced two advanced models for on-device computing and edge applications, named "les Ministraux": Ministral 3B and Ministral 8B. These models excel in knowledge, commonsense reasoning, function-calling, and efficiency within the sub-10B parameter range. They support up to 128k context length and are designed for various applications, including on-device translation, offline smart assistants, local analytics, and autonomous robotics. Ministral 8B features an interleaved sliding-window attention pattern for faster and more memory-efficient inference. Both models can function as intermediaries in multi-step agentic workflows, handling tasks like input parsing, task routing, and API calls based on user intent with low latency and cost. Benchmark evaluations indicate that les Ministraux consistently outperforms comparable models across multiple tasks. As of October 16, 2024, both models are available, with Ministral 8B priced at $0.1 per million tokens.
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    RoboOCR

    RoboOCR

    Softdiv Software

    Easy to use OCR software (optical character recognition) that can capture text from screen, images, PDFs, videos and other digital documents. It can quickly extract and recognize any non-selectable and non-editable text on your Windows screen.
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    Online OCR

    Online OCR

    OnlineOCR

    Picture to text converter allows you to extract text from images or convert PDF to Doc, Excel or Text formats using Optical Character Recognition software online. To extract text and characters from scanned PDF documents (including multipage files), photos and digital camera captured images. Any JPG, BMP or PNG images can be converted into text output formats with the same layout as the original file. Convert PDF to WORD or EXCEL online. Extract text from scanned PDF documents, photos, and captured images without payment. You may convert files from mobile devices (iPhone or Android) or PC (Windows\Linux\MacOS). All documents uploaded under the free "Guest" account will be deleted automatically after conversion. Output files for registered users are stored one month. OCR service is free for "Guest" users (without registration) and allows you to convert 15 files per hour.
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    pdf2docx

    pdf2docx

    Artifex

    pdf2docx is a Python library that uses PyMuPDF to extract data from PDF files, parse their layouts according to rules, and generate corresponding .docx files via python-docx. It supports conversion of text, images, tables, and other structural elements; it includes tools to extract tables, handle formatting, and preserve layout as much as possible. It offers both a command-line interface and a graphical user interface. The internal architecture is modular; it includes packages for handling pages, layout, tables, images, shape paths, text spans/blocks, and other elements, enabling fine control over how PDF content is mapped into Word documents. Developers can use the API for batch conversions or integrate it into workflows; there's documentation on installation (from PyPI or source), usage, and technical details of layout-parsing, table extraction, and internal modules. The project is open source, hosted on GitHub, and made available under its license with no warranty.
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    PaperStream

    PaperStream

    PFU America, Inc., a Ricoh Company

    PaperStream Capture Pro is a powerful front-end capture software that transforms paper documents (or imported digital files) into clean, indexed, searchable digital data ready for document-management workflows. It supports batch scanning with any TWAIN-compatible scanner, whether a desktop model or an enterprise-grade device, and uses advanced image-processing via its integrated engine to automatically enhance scanned images, remove noise, correct skew/rotation/color issues, and improve clarity for better OCR and readability. It offers robust data-extraction capabilities; full-text OCR, zonal OCR, barcode and patch-code reading, and even optical-mark-recognition and handprint recognition for handwritten block text or checkboxes. It can extract many fields per document (for example, from forms, applications, or surveys), automatically separate documents in mixed batches (using blank pages, barcodes, patch codes, or form-template recognition), and assign metadata.
    Starting Price: $334.55 per year
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    Upland Intelligent Capture
    Advanced cloud-based document capture software with routing and fax. Improve efficiency by automatically classifying documents, extracting data, and delivering downstream to any application. Empower your team with cloud-accessible document processing capabilities to send content to custom workflows or business systems. Streamline and analyze your document data with dynamic workflows and centralized dashboards. Enable remote workers to capture documents and images from any device and route to workflows from our user-friendly, accessible-anywhere interface. Automated data extraction and quality control processes reduce manual entry and lower the risk of misfiling information. Pay only for what you need and increase as your volume does, knowing that our infrastructure will expand to meet the demands of your growing business. Our innovative capture technology is outfitted with machine learning to automatically gather images and improve data accuracy at every step.
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    OptiDox

    OptiDox

    Zietra

    With this smart data extraction software and image-to-text converter, integrated with machine learning OCR, you can add any documents to convert it into smart, structured, searchable and editable text or data that provides actionable insights for your business. Can be edited electronically, searched, stored more compactly & displayed online. Can unlock data from even the most unstructured & complex documents. The system understands what and where to extract and improves over time using ML. Fully AI-driven to automate the process, offer more accuracy and provide actionable insights & business intelligence.
    Starting Price: $250 per month
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    Emmett

    Emmett

    Meerkat

    Emmett is Meerkat's tecnnology for the detection and recognition of texts in images. Available as an API for easy integration with other software via HTTP calls. Features Quality Assessment: Assess the document quality to perform OCR, improving recognition results Structured information: Obtain categorized document data for Brazilian IDs, passports coming soon Extensibility: Extract information from ID and various other documents Data Validation: Look for information in unstructured documents such as proof of residence Public databases query: Check information against public personal information databases
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    Automat

    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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    Adobe PDF Services API
    Create a PDF from Microsoft Office documents, protect the content, and convert to other formats. Programmatically alter a document, such as reordering, inserting, and rotating pages, as well as compressing the file. Access the same cloud-based APIs that power Adobe's end-user applications to quickly deliver scalable, secure solutions. Extract text, images, tables, and more from native and scanned PDFs into a structured JSON file. PDF Extract API leverages AI technology to accurately identify text objects and understand the natural reading order of different elements such as headings, lists, and paragraphs spanning multiple columns or pages. Extract font styles with identification of metadata such as bold and italic text and their position within your PDF. The extracted content is output in a structured JSON file format with tables in CSV or XLSX and images saved as PNG.
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    AlgoDocs

    AlgoDocs

    AlgoDocs

    AlgoDocs is a powerful web-based AI Platform for Data Extraction developed using the latest technologies. Extract handwriting, tables, Key-Value Pairs, marks, and Signature detection from PDFs and image files. Export extracted data to CSV, XML, Excel, or many other integrations, such as accounting software. AlgoDocs offers a forever free subscription, with 50 pages processed every month.
    Starting Price: $23/month
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    Cisdem OCRWizard
    Cisdem OCRWizard transforms scanned documents, PDFs, and images into editable digital files with remarkable accuracy. Powered by advanced AI, it extracts text while perfectly preserving original layouts, tables, and formatting - turning static documents into fully usable digital assets. The software handles over 200 languages and complex documents with ease, from multi-column reports to handwritten notes. Its batch processing capability lets you convert hundreds of files simultaneously, saving hours of manual work. Unlike cloud-based tools, all processing happens securely on your device.
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    Condensia

    Condensia

    Condensia

    Condensia is a French AI-powered summarization tool that instantly condenses YouTube videos and PDF documents into structured summaries. Built on Mistral AI technology, it delivers results in under 30 seconds. Key features: - YouTube video summarization with key points, chapters, and detailed summaries - PDF document extraction and condensation - No account required - instant access - 100% GDPR compliant - zero data storage - French data sovereignty - EU-hosted infrastructure - Free tier: 5 summaries/day - Clean, structured output ready for study or work Designed for students preparing exams, professionals processing large documents, and anyone needing quick content digestion. The French alternative to US-based AI tools, prioritizing privacy and European data protection standards. API available for developers and enterprise integration.