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.
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ParserBee
ParserBee is a cloud-based document data extraction service for finance, accounts payable, operations, logistics and other teams that process business records. Users select a Parser Template from a library, build one manually, or upload a sample document and let the AI template builder suggest fields. The service extracts structured fields and line items from invoices, purchase orders, receipts, bank statements, contracts and other documents. Data Lab supports batch uploads, spreadsheet-style review and export to Excel, CSV, PDF or Google Sheets. Built-in Google Sheets and Airtable connections, along with workflows through Zapier, n8n, Make and Power Automate, send extracted data to other tools. Developers can use the REST API, official Python and Node.js libraries, or the MCP server. Supported files include PDFs, scans and photos, spreadsheets, presentations and email files.
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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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