AI · alternatives · 2026

24 alternatives to Data Extraction Tool

Batch extract structured data from unstructured sources.

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.

1. 1
   DataSieve 2.0▲119

   Extract structured data from text, files and archives.

   Mar 2026 · apps.apple.com · its alternatives →

2. 2
   Sensible Instruct▲117

   GPT-4 document extraction

   2023 · app.sensible.so · its alternatives →

3. 3
   PDF Dino▲155

   Extract 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 →

4. 4
   Parsers▲300

   Extract structured data and visualize it without code

   2019 · parsers.me · its alternatives →

5. 5
   Data Extraction▲103

   Extract Data from Images Minimizing Time and Manual Work

   2023 · dataextraction.co · its alternatives →

6. 6
   Airparser▲301

   Data extraction powered by GPT-4

   2023 · airparser.com · its alternatives →

7. 7
   Unstructure AI▲14

   Extract structured data from unstructured documents with AI

   2025 · app.unstructure.ai · its alternatives →

8. 8
   Unblob – extraction suite for 30+ file formats▲240

   Extract files from any kind of container formats. Contribute to onekey-sec/unblob development by creating an account on GitHub.

   2023 · github.com · its alternatives →

9. 9
   We have built an API to extract data from unstructured documents▲11

   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 →

10. 10ET
    Extract Table from Image▲217

    2021 · extract-table.com · its alternatives →

11. 11
    Convert PDF files into structured data▲107

    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 →

12. 12
    Online Web Scraper▲260

    Cloud hosted data extraction tool

    2016 · datascraping.co · its alternatives →

13. 13
    Tabstack Structured Extraction▲199

    Extract web data into structured JSON, no scraper required.

    Jun 2026 · tabstack.ai · its alternatives →

14. 14
    Open-Source Document Extraction Tool▲13

    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:…

    2025 · github.com · its alternatives →

15. 15
    Nanonets OCR▲197

    Intelligent text extraction using OCR and deep learning

    2019 · case-study-page-nanonets.webflow.io · its alternatives →

16. 16
    Crawlify▲165

    AI powered data extraction APIs. Hassle-free data retrieval.

    2020 · crawlify.io · its alternatives →

17. 17
    Extract Tables by Docsumo▲123

    Free tool to extract tables from PDF and Images

    2021 · docsumo.com · its alternatives →

18. 18
    Documind – Open-source AI tool to turn documents into structured data▲169

    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 →

19. 19
    I Made an Open Source Platform for Structuring Any Unstructured Data▲88

    Hey HN, I'm Adithya, a 20-year-old dev from India. I have been working with GenAI for the past year, and I've found it really painful to deal with the many different forms of data out there and get the best representation of it for my AI applications. That's why I built OmniParse—an open-source platform designed to handle any unstructured data and transform it into optimized, structured representations. Key Features: - Completely local processing—no external APIs - Supports ~20 file types - Converts documents, multimedia, and web pages to high-quality structured markdown - Table extraction,…

    2024 · github.com · its alternatives →

20. 20
    ContextGem▲120

    Effortless LLM extraction from documents

    2025 · github.com · its alternatives →

21. 21
    l1m.io▲135

    The simplest API to get structured data from any LLM

    2025 · l1m.io · its alternatives →

22. 22
    Extractify▲5

    Turn messy PDFs into clean, structured data automatically

    Jan 2026 · extractifyhq.com · its alternatives →

23. 23
    Timesheets by Veryfi▲101

    Secure on-device extraction even if you're offline

    2018 · veryfi.com · its alternatives →

24. 24
    NinjaDoc Ai▲90

    Hey HN, I'm the founder of Ninjadoc AI. I've spent years working with document processing, and I've always been frustrated by the existing solutions for structured data extraction. The core problem is that most tools force you into one of two bad options: Template-based extractors: You define fixed regions or rules. These are incredibly brittle and break the moment a document layout changes slightly (e.g., a new invoice template from a vendor). ML-based extractors: These require you to gather hundreds (sometimes thousands) of your own labeled documents to train a custom model for each…

    2025 · ninjadoc.ai · its alternatives →

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 →