Alternatives

Products that do what Transform unstructured docs to structured data does

LLM-Powered document extraction & analysis tool

1. 1PA
   Parsr – A toolchain to transform documents into usable structured text▲182

   2020 · par.sr

2. 2HN
   HTML-Notepad – A WYSIWYG editor of structured documents▲95

   2018 · html-notepad.com

3. 3CP
   Convert PDF files into structured data▲107

   2016 · docparser.com

4. 4OS
   Open-Source Structured Extraction with LLM Using Ollama▲5

   2025 · github.com

5. 5
   l1m.io▲135

   The simplest API to get structured data from any LLM

   2025

6. 6LB
   LaTeX Boilerplates – Plain-Text Document Production System▲104

   2015 · mrzool.cc

7. 7GD
   Gransk – Document processing for investigations▲111

   2016 · gransk.com

8. 8DA
   DocQuery, an OSS tool for analyzing documents with LLMs▲7

   2022 · huggingface.co

9. 9IT
   Instantly Turn Google Docs into reStructuredText▲10

   2020 · freethedocs.app

10. 10KR
    Klassify – Redis Based Document Classification Service▲36

    2016 · github.com

11. 11RL
    Refuel-LLM, a large language model for data annotation and enrichment▲9

    2023 · app.refuel.ai

12. 12SN
    Structr - Next-Generation Data CMS Based on Neo4j▲47

    2014 · structr.org

13. 13UC
    Unstructured Citations to BibTeX with Conditional Random Fields▲28

    2015 · reftag.rmcgibbo.org

14. 14LA
    LLM agents to extract web data▲8

    2024 · twitter.com

15. 15DE
    Doczar – explicit doc generation for many languages▲15

    2014 · shenanigans.github.io

16. 16WA
    WSL, a clean text format for relational data▲23

    2016 · jstimpfle.de

17. 17LC
    Low-code tool for transforming data▲6

    2022 · github.com

18. 18UD
    udoc. Dependency-free document extraction in Rust▲5

    May 2026 · newelh.github.io

19. 19CP
    Camelot – PDF Table Extraction for Humans▲8

    2018 · github.com

20. 20AT
    A tool for turning facts into structured data with simple parsers▲10

    2017 · github.com

21. 21DA
    DocLayer – A modern document editor▲10

    2015 · standaert.net

22. 22SE
    Smelt – Extract structured data from PDFs and HTML using LLM▲6

    I built a CLI tool in Go that extracts structured data (JSON, CSV, Parquet) from messy PDFs and HTML pages. The core idea: LLMs are great at understanding structure but wasteful for bulk data extraction. So smelt uses a two-pass architecture: 1. A fast Go capture layer parses the document and detects table-like regions 2. Those regions (not the whole document) get sent to Claude for schema inference — column names, types, nesting 3. The Go layer then does deterministic extraction using the inferred schema This means the LLM is never in the hot path of actual data processing. It figures out…

    Mar 2026 · github.com

23. 23DA
    Docbag – an open-source document generation library written in Java▲6

    2014 · docbag.org

24. 24XI
    Xtrct.io – Automatic product data extraction▲16

    2019 · xtrct.io

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