Document Extractor — PDF to text, Markdown, tables

Document Text Extractor

lergassy/document-text-extractor

Extract text, Markdown, tables and metadata from PDF, Word, Excel, PowerPoint, EPUB, HTML and CSV files. Reads scanned pages with OCR in 19 languages and splits documents into RAG-ready chunks. Export data, run via API, schedule runs, or integrate with other tools or AI workflows.

Extract text, speaker notes, and slide structure from PowerPoint (.pptx) files at any URL — including Google Drive and Dropbox links. Batch up to 50 files. Perfect for LLM/RAG pipelines. No API key. $0.02/file + $0.001/slide.

Parse Word, PowerPoint, Excel and PDF documents into clean Markdown and structured JSON: tables extracted cell-by-cell, document metadata, and RAG-ready chunks with heading paths. Built-in OCR for scans and images.

Extract text, GFM Markdown, tables (2D arrays + CSV) and heading-aware RAG chunks with page anchors from PDFs. URLs, base64 upload, key-value store, password-protected PDFs, page ranges, OCR fallback (eng/deu/fra/spa) only for pages without a text layer. Failed PDFs are never charged.

PDF Text Extractor - Markdown, Tables & RAG Chunks

readable_slash/pdf-text-extractor-structured

Extract text from PDF to clean Markdown with real tables, headings and lists. Bulk PDF to text conversion for RAG, LLM and vector database ingestion, with optional context-aware chunking. Detects scanned PDFs, handles encrypted files and broken URLs. Pay only for documents extracted.

PDF Text & Table Extractor (pdfplumber, batch URLs)

gochujang/pdf-text-extractor

Download any PDF by URL and extract clean per-page text + detected tables (as 2D arrays) + document metadata (title/author/created/modified). Powered by pdfplumber. Batch up to 50 PDFs. $0.01 per PDF + $0.0005 per page.

Document Text Extractor - PDF, DOCX & HTML to Text/Markdown

clearfetch/document-text-extractor

Extract clean text and markdown from PDF, DOCX and HTML documents, with per-page text, document metadata and real line breaks. Detects scanned PDFs that have no text layer instead of returning an empty result. No proxy, no login.

PDF Text & Table Extractor — Markdown, OCR

acotr_moonie/pdf-text-extractor

Text, markdown, ruled tables and RAG chunks from PDF URLs, one item per page or per document, with optional Tesseract OCR for scanned pages. Built on PDFium: 140 pages in about a second. Charged per page delivered; document summaries, errors and skipped pages are free.

Extract text from PDF URLs at scale: full text, per-page text, real structured tables (rows and columns as JSON, not text lines), document metadata and clean Markdown for LLM/RAG. The table extraction generic PDF text extractors don't have. No credentials needed.

Convert PDF documents into clean, readable Markdown with the document structure preserved — headings, lists and paragraph flow. Process files in bulk and get output that drops straight into LLM pipelines, RAG systems, knowledge bases and documentation sites.