AI · alternatives · 2026
24 alternatives to Open-Source Document Extraction Tool
Hi, I'm building an open-source self-hostable document extraction tool powered by LLM. There are popular data extraction tools and OCR tools in the market. None of them are open source. Most accounting firms, law firms, insurance, back office, and real-estate folks would like to use a tool like this. You can add PDF documents, Images, and audio files and create columns to answer questions on documents or extract information into tabular format. Access to repo: https://github.com/harishdeivanayagam/rowfill Screenshots:…
This open-source, self-hostable tool uses large language models to extract information from documents, images, and audio files into structured tabular formats. Users upload files, define custom columns with questions… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
- 1
Hi HackerNews, Lately, I have seen an explosion in posts offering paid APIs/services to get unstructured data into LLMs (i.e. langchain extract, ragflow, unstructured, unstract, just to name a few) and I have been largely disappointed by them, either because they fail to implement multimodal support, fail to give good context for "really tricky" PDFs / Word docs / Powerpoints, or are just plain difficult to use. In light of all these posts I figured I'd share my solution that has been working smoothly for me and my clients. I put it up on GitHub for free so you can check it…
2024 · github.com · its alternatives →
- 2
Documind is an open-source tool that turns documents into structured data using AI. What it does: - Extracts specific data from PDFs based on your custom schema - Returns clean, structured JSON that's ready to use - Works with just a PDF link + your schema definition Just run npm install documind to get started.
2024 · github.com · its alternatives →
- 3
Free tool to extract tables from PDF and Images
2021 · docsumo.com · its alternatives →
- 4
- 5
Nolain OCR▲85Turn hundreds of documents into one clean spreadsheet
Feb 2026 · nolainocr.com · its alternatives →
- 6
DeepTagger▲386Hi HN, I built a tool for teaching LLMs how to extract structured data from documents by annotating, not prompt engineering. I’d love your feedback. How it works: - Upload a document (DOCX, PDF, image, etc.) - Select and tag parts of it (supports nesting, arrays, custom tag structures) - Upload another document → click "predict" → see editable annotations - Amend them and save as a new example - Call the API with a third document → get JSON back Use cases: - Identify "important clauses" in contracts - Extract "total value" from invoices - Anything subjective, like "healthy ingredients" on a…
2025 · deeptagger.com · its alternatives →
- 7
PDF Dino▲155Extract structured tables from messy PDFs using AI. Export to Excel, CSV, or JSON. Try 20 pages free—no credit card needed.
2025 · pdfdino.com · its alternatives →
- 8
Batch extract structured data from unstructured sources.
2025 · extractany.com · its alternatives →
- 9
Docparser helps you extract important data from Word, PDF, CSV, XLS, TXT, XML, and image files. Send to Excel, Google Sheets, and 100s of apps.
2016 · docparser.com · its alternatives →
- 10
Extract invoice data to Excel in seconds
2023 · facturasaexcel.com · its alternatives →
- 11
Secure on-device extraction even if you're offline
2018 · veryfi.com · its alternatives →
- 12
📄 PDF/IMG ->.MD/JSON Document OCR API for PaddleOCR and GLMOCR. Self-hostable. - majcheradam/ocrbase
Jan 2026 · github.com · its alternatives →
- 13
DataSieve 2.0▲119Extract structured data from text, files and archives.
Mar 2026 · apps.apple.com · its alternatives →
- 14
Extract tables from messy docs even photos in seconds. How?
2025 · its alternatives →
- 15
Hey HN, solo dev here. After years of frustration with how LLMs handle complex documents, especially PDFs with tables, I decided to build a solution myself. My approach uses a Markdown conversion step to preserve the table structure, which seems to work surprisingly well for chunking. This little parser is the first public piece of a much larger, privacy-focused AI platform I'm building. I'm pretty much running on fumes financially, so any feedback, critique, or support is massively appreciated. Happy to answer any questions about the approach!
Nov 2025 · github.com · its alternatives →
- 16
Open Source Document Management System for Digital Archives (Scanned Documents) - ciur/papermerge
2020 · github.com · its alternatives →
- 17
Canonizr▲54Precise document extraction for your agents — zero retention
Apr 2026 · canonizr.com · its alternatives →
- 18
Extract data from documents with AI using our tool, Extracta LABS. Automate document data extraction using an AI image data extractor.
2024 · extracta.ai · its alternatives →
- 19
ExtractBench - A Benchmark for Schema-Guided Enterprise Document Extraction - run-llama/ExtractBench
Aug 2026 · github.com · its alternatives →
- 20DE
Hey! We’ve built a data extraction tool to flexibly automate data and document processing. You’ve probably seen a few of these, so have we! A few of us have been varyingly stuck trying to automate the extraction of borrower financials for the past 5 years. We think that there are a few missing features of most data extraction tools. * They are usually too complex to quickly get up and running * They are overly constrained in terms of what workflows and documents they support We’ve always felt like speed and flexibility were sticking points, so we went slightly orthogonal to the alternatives.…
2024 · go.sea.dev · its alternatives →
- 21TU
LLM-Powered document extraction & analysis tool
2024 · dataku.ai · its alternatives →
- 22
ContentSense▲11🚀 Extract, Organize & Automate Data from Any Document!
2025 · contentsense.jivrus.com · its alternatives →
- 23
Free online PDF tools — no signup needed
2025 · pdf.turcoazapps.com · its alternatives →
- 24
Improved file parsing for LLM’s. Contribute to Filimoa/open-parse development by creating an account on GitHub.
2024 · github.com · its alternatives →
Also compare
Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →