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Open Source Framework für

parsee.aiInfrastructure

PulseGate's liveness check found it on 14 Oct 2026; it is registered on GitHub and PyPI and has been in the index since 27 Jun 2026. How this is checked

Parsee.ai is an open-source framework that leverages LLMs and custom AI models to extract and structure data from PDFs, HTML files, and images. It supports both local and cloud execution, template-based parsing, and custom model training, making it suitable for developers and data engineers handling unstructured data.

Inferred · not functionally tested

Open SourceMITWebCLISelf-hostedCloud-managed
Open Source Framework für preview
Visit parsee.ai
84stars
3forks
6features
2024since

Overview

6 features

Purpose: Automates extraction and structuring of unstructured data from documents and images using AI models.

Inferred · not functionally tested

Audience: Data engineers and developers needing automated data extraction

Inferred · not functionally tested

Functions: data_extraction

Inferred · not functionally tested

Interfaces: API: unknown · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)

Recorded constraints: pricing: open_source · license: MIT · platforms: CLI, WEB · deployment: browser, cli, self_hosted, cloud_managed

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: parsee.ai · github.com. These links do not verify the individual claims.

Open Source Framework für sits in PulseGate's Data labelling & annotation category. Inferred · not functionally tested: It automates extraction and structuring of unstructured data from documents and images using AI models. Inferred · not functionally tested: Open Source Framework für is an open-source project aimed at data engineers and developers needing automated data extraction. Basis unknown · not verified: Open Source Framework für is open source under the MIT license. Basis unknown · not verified: Open Source Framework für is available on the web and the command line, and it can be self-hosted.

Parsee.ai builds and maintains Open Source Framework für, and it first shipped in 2024. Development happens publicly on GitHub with 84 stars and 1 commit in the last 90 days. Inferred · not functionally tested: Key capabilities include data extraction, template-based parsing, and custom model training. The interface is available in German and English.

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

Tasks: Inferred · not functionally tested

  • Data extraction
  • Template-based parsing
  • Custom model training
  • Dataset creation
  • Visual interface
  • Cloud and local execution

Topics: Inferred · not functionally tested

Tags
data-extractionllm-frameworkdocument-parsing
AI capabilities
TextImageStructured
Inference: HybridWeights: Open

JSON profile · Text profile · Access guide

Built with & integrations

Framework
NuxtVue
Hosting
Netlify
AI providers
multipleopenaianthropicmistralcoherelocal_oss
Runs on
BrowserCLISelf-hostedCloud-managed
Detected from
Vue
bdata-v- in the HTML
Nuxt
window in the HTML · /_nuxt/ in the HTML · __nuxt in the HTML
Netlify
x-nf-request-id header
multiple
bLangChain in the HTML

Trust & compliance

License
MIT
Public signals
HTTPSPrivacy PolicyOpen SourceGitHub · ★ 84Active maintenanceMulti-language

Indexing history

What PulseGate has recorded for this listing

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Frequently asked questions about Open Source Framework für

What is Open Source Framework für?
Inferred · not functionally tested: Open Source Framework für automates extraction and structuring of unstructured data from documents and images using AI models. It is catalogued under Data labelling & annotation on PulseGate.
Who should use Open Source Framework für?
Inferred · not functionally tested: Open Source Framework für is an open-source project built for data engineers and developers needing automated data extraction.
Does Open Source Framework für have a free plan?
Basis unknown · not verified: Yes — Open Source Framework für is open source under the MIT license and free to use.
What platforms does Open Source Framework für run on?
Basis unknown · not verified: Open Source Framework für runs on the web and the command line. It can also be self-hosted.
Is Open Source Framework für still maintained?
PulseGate's liveness check found it on 14 Oct 2026. Its GitHub repository shows 1 commit in the last 90 days.
What are alternatives to Open Source Framework für?
Similar projects tracked by PulseGate include Parse, Parsli, and PDF Parser.ParseParsliPDF Parser
Who makes Open Source Framework für?
Open Source Framework für is developed by Parsee.ai.
When did Open Source Framework für launch?
Open Source Framework für first shipped in 2024.

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