AI · alternatives · 2026
24 alternatives to LlamaExtract, a tool to automatically extract schema from documents
We build LlamaExtract, a tool that allow you to automatically extract a data model from a collection of documents, and then reusing this datamodels (JSON Schema) to extract data from documents. Available as a Python library and as an API. Announcement blog: https://www.llamaindex.ai/blog/introducing-llamaextract-beta...
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 1 we have checked on their own sites, 1 of them free or with a free tier. LlamaExtract, a tool to automatically extract schema from documents launched in 2024; newer entries below may have overtaken it.
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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 →
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Outlines is a Python library that focuses on text generation with large language models. Brandon and I are not LLM experts and started the project a few months ago because we wanted to understand better how the generation process works. Our original background is probabilistic, relational and symbolic programming. Recently we came up with a fast way to generate text that matches a regex (https://blog.normalcomputing.ai/posts/2023-07-27-regex-guide...). The basic idea is simple: regular expressions have an equivalent Deterministic-Finite Automaton (DFA) representation. We…
2023 · github.com · its alternatives →
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We've been building data pipelines that scrape websites and extract structured data for a while now. If you've done this, you know the drill: you write CSS selectors, the site changes its layout, everything breaks at 2am, and you spend your morning rewriting parsers. LLMs seemed like the obvious fix — just throw the HTML at GPT and ask for JSON. Except in practice, it's more painful than that: - Raw HTML is full of nav bars, footers, and tracking junk that eats your token budget. A typical product page is 80% noise. - LLMs return malformed JSON more often than you'd expect, especially with…
Mar 2026 · github.com · its alternatives →
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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 →
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ManyPI▲35410x your revenue by finding your ideal customers
Dec 2025 · manypi.com · its alternatives →
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Turn any website into an API (for those who miss Kimono)free tier, from $19/mo▲332Web scraping made simple — extract data with our free Chrome extension and powerful cloud platform. Turn websites into structured data at scale, via dashboard or API.
2019 · simplescraper.io · its alternatives →
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Extract web data into structured JSON, no scraper required.
Jun 2026 · tabstack.ai · its alternatives →
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JSON Query▲154I'm working on a tool that will probably involve querying JSON documents and I'm asking myself how to expose that functionality to my users. I like the power of `jq` and the fact that LLMs are proficient at it, but I find it right out impossible to come up with the right `jq` incantations myself. Has anyone here been in a similar situation? Which tool / language did you end up exposing to your users?
Oct 2025 · jsonquerylang.org · its alternatives →
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Scraper AI▲190Automate website data extraction in a few clicks
2020 · scraper.ai · its alternatives →
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Turn any webpage into structured data using LLMs. Contribute to mishushakov/llm-scraper development by creating an account on GitHub.
2024 · github.com · its alternatives →
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2017 · jsonbrowse.com · its alternatives →
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ExtractBench - A Benchmark for Schema-Guided Enterprise Document Extraction - run-llama/ExtractBench
Aug 2026 · github.com · its alternatives →
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The core processing engine behind LlamaParse is now open source. LiteParse runs entirely locally, has zero Python dependencies, and is built around how agents actually iterate on documents: parse text fast, fall back to screenshots when you need visual reasoning.
Mar 2026 · llamaindex.ai · its alternatives →
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2016 · allorigins.pw · its alternatives →
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Code based data manipulation tool for text, arrays, and JSON
2023 · sloth.sellersew.com · its alternatives →
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While working with LLMs for structured web data extraction, we saw issues with invalid JSON and broken links in the output. This led me to build a library focused on robust extraction and enrichment: - Clean HTML conversion: transforms HTML into LLM-friendly markdown with an option to extract just the main content - LLM structured output: Uses Gemini 2.5 flash or GPT-4o mini to balance accuracy and cost. Can also also use custom prompt - JSON sanitization: If the LLM structured output fails or doesn't fully match your schema, a sanitization process attempts to recover and fix the data,…
2025 · github.com · its alternatives →
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Parse PDF to Json with AI and BYO-JSON-Schema
2025 · pdftojson.dev · its alternatives →
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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 →
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A framework for creating semi-automatic web content extractors - AlexMathew/scrapple
2015 · github.com · its alternatives →
- 24
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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 →