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Hardparse

hardparse.comInfrastructure

PulseGate's liveness check found it on 14 Oct 2026; it is registered on PyPI and has been in the index since 29 Jun 2026. How this is checked

Hardparse is layout-aware OCR for documents that resist parsing. It is designed to extract structured output from PDFs, scans, screenshots, and the first frame of a WebM, and it is built for retrieval pipelines, invoice intake, and QA review where document layout matters.

Inferred · not functionally tested

FreeMITCLISelf-hostedAPI
Hardparse preview
Visit hardparse.com

Overview

6 features

Purpose: Extracting structured, layout-aware data from PDFs and scanned documents that resist standard OCR.

Inferred · not functionally tested

Audience: developers building document processing pipelines

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: indicated (inferred, not tested)

Recorded constraints: pricing: free · license: MIT · platforms: CLI, API · deployment: cli, self_hosted, api_only

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: hardparse.com. These links do not verify the individual claims.

Hardparse is a Computer vision, OCR & document AI project. Inferred · not functionally tested: It focuses on extracting structured, layout-aware data from PDFs and scanned documents that resist standard OCR. Inferred · not functionally tested: It is built as an open-source project for developers building document processing pipelines. Basis unknown · not verified: Hardparse costs nothing to use. Basis unknown · not verified: It ships for the command line and API, and it can be self-hosted.

Behind Hardparse is Hardparse, and it first shipped in 2026. Inferred · not functionally tested: Among its 6 catalogued features are Layout-aware OCR, markdown output, and region detection. Inferred · not functionally tested: Catalogued interfaces include a public API. Hardparse is currently in beta.

Summary written by a language model from the project’s public pages.

Tasks: Inferred · not functionally tested

  • Layout-aware OCR
  • Markdown output
  • Region detection
  • Reading order extraction
  • Bounding box output
  • Self-hosting

Topics: Inferred · not functionally tested

Tags
layout-ocrdocument-parsingmarkdown-outputregion-detectioncli-api
AI capabilities
ImageTextStructured
Inference: Cloud APIWeights: Open

JSON profile · Text profile · Access guide

Built with & integrations

AI providers
local_oss
Connectors
API
Runs on
CLISelf-hostedAPI-only

Trust & compliance

License
MIT
Public signals
HTTPSFree tier

Indexing history

What PulseGate has recorded for this listing

Nothing recorded for this listing in this window.

Frequently asked questions about Hardparse

What does Hardparse do?
Inferred · not functionally tested: Hardparse focuses on extracting structured, layout-aware data from PDFs and scanned documents that resist standard OCR. It is catalogued under Computer vision, OCR & document AI on PulseGate.
Who is Hardparse for?
Inferred · not functionally tested: Hardparse is an open-source project built for developers building document processing pipelines.
Is Hardparse free?
Basis unknown · not verified: Yes — Hardparse is free to use.
What platforms does Hardparse run on?
Basis unknown · not verified: Hardparse runs on the command line and API. It can also be self-hosted.
Is Hardparse still active?
PulseGate's liveness check found it on 14 Oct 2026.
Who makes Hardparse?
Hardparse is developed by Hardparse.
When did Hardparse launch?
Hardparse first shipped in 2026.
Does Hardparse have an API or integrations?
Inferred · not functionally tested: Yes — Hardparse exposes a public API.

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