EdgeParse
PulseGate's liveness check found it on 9 Oct 2026; it is registered on GitHub and PyPI and has been in the index since 25 Jun 2026. How this is checked
EdgeParse is a PDF parser for RAG pipelines and other AI workflows that need structured text from PDFs without machine learning dependencies. It is described as a non-ML PDF parser and as a Rust binary with no GPU, OCR, or JVM requirements.
Inferred · not functionally tested
Overview
6 featuresPurpose: Enables developers to extract structured data from PDFs quickly without machine learning dependencies.
Inferred · not functionally tested
Audience: developers
Inferred · not functionally tested
Functions: data_extraction
Inferred · not functionally tested
Interfaces: API: indicated (inferred, not tested) · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: unknown
Recorded constraints: pricing: freemium · license: Apache Software License · platforms: CLI, API, WEB · deployment: browser, cli, api_only
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: edgeparse.com · github.com. These links do not verify the individual claims.
EdgeParse is a Data integration & ETL project. Inferred · not functionally tested: It enables developers to extract structured data from PDFs quickly without machine learning dependencies. Inferred · not functionally tested: EdgeParse is a B2B product aimed at developers. Basis unknown · not verified: EdgeParse follows a freemium model. Basis unknown · not verified: EdgeParse is available on the web, the command line, and API.
EdgeParse first shipped in 2026. The project is developed in the open on GitHub with 120 stars and 9 commits in the last 90 days. Inferred · not functionally tested: Among its 6 catalogued features are PDF parsing, structured data extraction, and markdown output. Inferred · not functionally tested: Catalogued interfaces include a public API.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- PDF parsing
- Structured data extraction
- Markdown output
- JSON output
- HTML output
- CLI support
Topics: Inferred · not functionally tested
Built with & integrations
- Astro
- /_astro/ in the HTML
- multiple
- bLangChain in the HTML · bLlamaIndex in the HTML
Trust & compliance
Indexing history
3What PulseGate has recorded for this listing
Frequently asked questions about EdgeParse
- What does EdgeParse do?
- Inferred · not functionally tested: EdgeParse enables developers to extract structured data from PDFs quickly without machine learning dependencies. It is catalogued under Data integration & ETL on PulseGate.
- Who should use EdgeParse?
- Inferred · not functionally tested: EdgeParse is a B2B product built for developers.
- Does EdgeParse have a free plan?
- Basis unknown · not verified: Yes — there is a free tier, with paid plans for advanced use.
- What platforms does EdgeParse run on?
- Basis unknown · not verified: EdgeParse runs on the web, the command line, and API.
- Is EdgeParse still active?
- PulseGate's liveness check found it on 9 Oct 2026. Its GitHub repository shows 9 commits in the last 90 days.
- How long has EdgeParse been around?
- EdgeParse first shipped in 2026.
- Is EdgeParse open source?
- Basis unknown · not verified: EdgeParse has a public GitHub repository.
- Does EdgeParse have an API or integrations?
- Inferred · not functionally tested: Yes — EdgeParse exposes a public API.
Similar projects
Closest matches by what these projects do