Self-hosted alternatives to liteparse
5 self-hosted AI Skills apps to use instead, best rated first.
Top picks
- C

claude-to-deerflow
Launchclaude-to-deerflow is an agent skill that lets an assistant send messages and questions to a running DeerFlow instance through its HTTP API. DeerFlow is an AI agent platform built on LangGraph that orchestrates sub-agents for research, code
Self-hosted
- O

open-notebook
Launchopen-notebook is an agent skill for organising research with Open Notebook, a self-hosted alternative to NotebookLM. It arranges sources, notes and AI conversations into research notebooks. Sources can be PDFs, web pages, audio, video and O
Self-hosted
- R

Reactive Resume
LaunchReactive Resume is a free and open-source resume builder for writing resumes and cover letters, checking the work, and tracking job applications. You create a free account, import an existing resume or start from scratch, and see the finish
Open sourceSelf-hosted
- S

self-hosted-funnel-launch
LaunchSelf-hosted funnel launch is an agent skill that takes a funnel from an empty install to published on infrastructure you control, using the Autonnel funnel builder, which is licensed Apache-2.0. The result covers a landing page, checkout, a
Self-hosted
- G

get-convex/convex-backend
LaunchConvex is an open-source reactive database for web app developers. It combines a database, a place to write server functions in pure TypeScript, and client libraries that keep the app's data live, so screens update as the data changes. Beca
Self-hosted
About liteparse

liteparse
Local document and PDF parsing that returns spatial text with bounding boxes
liteparse is an agent skill for local document and PDF parsing that returns layout-aware text with bounding boxes. It is for extracting text from PDFs, DOCX and other Office files, and images, and for running OCR on scanned pages. LiteParse is an open-source parser with a Rust core and Python and Node bindings. It can produce layout text, structured JSON, or heuristic Markdown. Its spatial text items may span several words, and the Python option emit_word_boxes adds word boxes when you need them. The verified release is the Python liteparse 2.15.0 from 29 September 2026, with the command-line tool and synthetic PDF and image test files checked on Python 3.13. The Node and Rust examples were checked against source but not run. Images are converted with bundled Rust libraries, not ImageMagick. The skill says no cloud account is needed for parsing. It also notes two data flows to be aware of. Missing Tesseract language data can be downloaded from GitHub, and an HTTP OCR service receives document images only if you explicitly configure one. The skill includes a reference file for choosing between this parser and other options such as MarkItDown and LlamaParse.
- Price
- Free
- Made by
- k-dense-ai
- Category
- AI Skills
- Website
- github.com/k-dense-ai/scientific-agent-skills/liteparse