PulseGateCategoriesMethodologyCompanyThe global software index— through the gate this hour
Coverage—in the index
Freshness—newest listing
Cadence—last week average · — today
Index9 markets90 categories · 139 niches
PulseGate

The global index of software taking shape now.

Stores show what passed through a store. Launch sites show what launched there. Catalogs show what entered their catalog. Each sees the market through its own gate. PulseGate reads across them.

FollowGitHubX (Twitter)LinkedIn
Platform
IndexIndex by setCategoriesIndustry UpdatesMethodologySupply IndexData SourcesCoverage RulesGlossaryEmbed Widget
Support
Help CenterSubmit your projectReport an Issue
Company
AboutTeamDimaxiaPress & DataContactPlatform Status
Legal
PrivacyTermsDisclaimer
Dimaxia · Dymaxio s.r.o. · Prague, Czechia · © 2026WatchlistSitemapSystem status
PulseGateOSOpen Source Framework für
Visit↗
Skip to content
  1. Index›
  2. Frameworks & SDKs›
  3. Open Source Framework für
← Back to the index
OS

Open Source Framework für

parsee.ai·Infrastructure

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.

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

Overview

6 features

Open Source Framework für sits in PulseGate's Frameworks & SDKs category. It automates extraction and structuring of unstructured data from documents and images using AI models. Open Source Framework für is an open-source project aimed at data engineers and developers needing automated data extraction. Open Source Framework für is open source under the MIT license. 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. 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.

  • ✓Data extraction
  • ✓Template-based parsing
  • ✓Custom model training
  • ✓Dataset creation
  • ✓Visual interface
  • ✓Cloud and local execution
Tags
data-extractionllm-frameworkdocument-parsing
AI capabilities
TextImageStructured
Inference: HybridWeights: Open

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
Verified signals
✓HTTPS✓Privacy Policy✓Open Source✓GitHub · ★ 84✓Active maintenance✓Multi-language
Legal
Privacy Policy →

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed27 Jun · 15:42 UTC
    Listing verified against its public source
    Source: PulseGate · Open ↗

Frequently asked questions about Open Source Framework für

What is Open Source Framework für?
Open Source Framework für automates extraction and structuring of unstructured data from documents and images using AI models. It is catalogued under Frameworks & SDKs on PulseGate.
Who should use Open Source Framework für?
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?
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?
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?
The GitHub repository shows 1 commit in the last 90 days.
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.
Is Open Source Framework für open source?
Yes — Open Source Framework für is open source under the MIT license, developed on GitHub.

At a glance

Pricing
Open Source
Platforms
Cli · Web
Languages
German, English
Open source
Yes · ★ 84
License
MIT
Built for
Data engineers and developers needing automated data extraction
Model
Open source
Solves
Automates extraction and structuring of unstructured data from documents and images using AI models.

Registered as

GitHub
parsee-ai/parsee-core
PyPI
parsee-core

Developer

Parsee.ai
Small team
↗ GitHub

Open source

View on GitHub →
Stars
84
Forks
3
Open issues
2
Last commit
20 Jun 2026
Commits 90d
1
Contributors
2
Authorship
Small team
Default branch
master

Index record

Identity confidence
High · 95.6
Indexed
27 Jun 2026
Lifecycle
Alive
Last seen
27 Jun 2026
Identity audit (12)
Slug
parsee-core-parsee-ai
Lifecycle last checked
8 Aug 2026
Verification state
Indexed for public listing
Listing state
Listed: yes
Index status
Included in index
Latest evidence snapshot
27 Jun 2026
Timeline basis
Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from
Derived from the project's own page and URL.
Category from
Assigned by a language model.
Summary from
Written by a language model from public pages.
Languages from
Detected by a language model, checked against the page's own declaration.
Canonical URL
https://parsee.ai/de

Ship this? Send a correction — no account, and you get a link to follow it.

Similar projects

Closest matches by what these projects do

  • PPPDF Parserpdfparser.co
  • PAParsioparsio.io