PDF.co
API platform for intelligent data extraction and PDF. Automated parsing of PDF documents. Create re-usable low-code extraction templates. Multi-language OCR, tables, fields. Built-in invoice parser. Split PDF, merge PDF documents and PDF forms, Re-order, delete pages. Use advanced splitter. Fill out pdf forms. Add text, images, signatures to existing pdf documents. Auto fill interactive fields. Generate PDF from Html templates with conditions, variables, custom logic. High quality PDF output, full control on quality, secure and scalable. PDF extractor engine for turning PDF into raw JSON, PDF to CSV, PDF to XML, PDF to XLS, PDF to XLSX. Preserve layout, extract tables, use OCR, repair malformed text in pdf. Extract QR Code, Code 128, Code 39, DataMatrix, PDF417 and any other barcode type from PDF, scans and images. High-performance barcode reading engine.
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Data Donkee
Data Donkee is an AI-powered web extraction platform that enables users to collect structured data from websites using natural language instead of traditional coding. It centers on an AI Web Agent that allows users to describe their data requirements in plain English and optionally define the desired output using JSON schema, after which the platform automatically builds a custom scraper. It is designed to eliminate common web scraping challenges such as maintaining fragile code, handling constantly changing websites, and scaling data collection across large or complex sources. It emphasizes consistent and reliable extraction, aiming to minimize inaccurate results while supporting dynamic site structures and large datasets. Its workflow is streamlined into three main steps: users describe the data they need, the AI generates the extraction logic, and the platform delivers clean, structured data ready for analysis or integration.
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ExtractAny
ExtractAny is an AI-powered data extraction platform designed to automatically pull structured data from a variety of sources including websites, documents, and PDFs. It uses advanced algorithms and a visual schema editor to let users define exactly what data to extract without any coding required. Users simply input URLs or files, specify data fields with natural language prompts, and receive the extracted data in JSON format. The platform handles complex layouts, nested content, and dynamic sections, making it highly adaptable. ExtractAny supports real-time task execution and validation to ensure data accuracy. Flexible pricing plans range from free to premium tiers, accommodating individuals and enterprises alike.
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Google Cloud Natural Language API
Get insightful text analysis with machine learning that extracts, analyzes, and stores text. Train high-quality machine learning custom models without a single line of code with AutoML. Apply natural language understanding (NLU) to apps with Natural Language API. Use entity analysis to find and label fields within a document, including emails, chat, and social media, and then sentiment analysis to understand customer opinions to find actionable product and UX insights. Natural Language with speech-to-text API extracts insights from audio. Vision API adds optical character recognition (OCR) for scanned docs. Translation API understands sentiments in multiple languages. Use custom entity extraction to identify domain-specific entities within documents, many of which don’t appear in standard language models, without having to spend time or money on manual analysis. Train your own high-quality machine learning custom models to classify, extract, and detect sentiment.
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