Alternatives
Products that do what LiteParse, a fast open-source document parser for AI agents does
LiteParse is an open-source (Apache 2.0) document parser that provides high-quality spatial text parsing with bounding boxes. It does not depend on local or frontier VLMs. Because it does not require GPUs, liteparse can be run on any machine, and process a few hundred pages of documents in seconds. It offers higher accuracy than similar tools like PyPDF, PyMuPDF, MarkItDown. It supports a variety of file formats - PDFs, Office documents, images. It can be one-line installed as a skill for 40+ different AI agents, including Claude Code, Cursor, OpenClaw, Windsurf, and more.
- 1LA
2020 · github.com
- 2LV
May 2026 · github.com
- 3
- 4
- 5
- 6OS
The PDF parser is a rule based parser which uses text co-ordinates (boundary box), graphics and font data. The PDF parser works off text layer and also offers a OCR option to automatically use OCR if there are scanned pages in your PDFs. The OCR feature is based off a modified version of tika which uses tesseract underneath. The PDF Parser offers the following features: * Sections and subsections along with their levels. * Paragraphs - combines lines. * Links between sections and paragraphs. * Tables along with the section the tables are found in. * Lists and nested lists. * Join content…
2024 · github.com
- 7
- 8
- 9
- 10SL
2023 · github.com
- 11SG
Much improved new version. Search for words similar to the query. For example, "death" will find "death", "dying", "dead", "killing"... Incredibly useful for exploring large text datasets where exact matches are too restrictive.
2024 · github.com
- 12
- 13
- 14
- 15SG
Sep 2025 · github.com
- 16
- 17TR
An extension of regular expressions for text editing, with a grep-like command-line tool. If you, like me, struggle with group logic in regular expressions, you might find it useful. I wanted to do this for a very long time. It is more of a sketch or prototype. I'd really appreciate your feedback!
2025 · github.com
- 18OA
Hi HN, I built an open-source AI agent that has already indexed and can search the entire Epstein files, roughly 100M words of publicly released documents. The goal was simple: make a large, messy corpus of PDFs and text files immediately searchable in a precise way, without relying on keyword search or bloated prompts. What it does: - The full dataset is already indexed - You can ask natural language questions - Answers are grounded and include direct references to source documents - Supports both exact text lookup and semantic search Discussion around these files is often fragmented. This…
Jan 2026 · epstein.trynia.ai
- 19
- 20OO
2021 · github.com
- 21
- 22
- 23
- 24
Ranked by how close each launch is in meaning, then by votes. Refine with a description →