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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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.
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AnyParser
AnyParser, developed by CambioML, is a real-time parser designed to extract content from various file formats, including PDFs, DOCX files, and images. It offers features such as full content parsing, key-value extraction, and table extraction, providing accurate and efficient data retrieval. The platform utilizes advanced Vision Language Models (VLMs) to enhance document retrieval accuracy by up to 2x compared to traditional OCR models, ensuring precise extraction of text, tables, charts, and layout information. AnyParser prioritizes client privacy by processing data locally, ensuring that sensitive information remains confidential and secure. The API is designed for seamless enterprise integration, allowing users to customize extraction rules and output formats according to their specific needs. With support for multiple file formats and a user-friendly interface, AnyParser streamlines data extraction processes, making it a valuable tool for businesses.
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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.
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