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OmniParse

Data Extraction 4.3/10 Emerging

Ingest, parse, and optimize any data format ➡️ from documents to multimedia ➡️ for enhanced compatibility with GenAI frameworks

OmniParse scores 4.3/10 (Emerging) in Data Extraction.

Language Python License GPL-3.0 Stars 7.6k★ Type service Self-host Yes Repo adithya-s-k/omniparse Homepage https://github.com/adithya-s-k/omniparse

Quality

Emerging 4.3
Adoption 47
Activity 5
Maturity 72
Community 46
Capability 50
Show the math
Overall 4.3/10
value = 4.3/10
score = value
Adoption 5.2/10
value = 47.1/100
score = 1 + 9 * value / 100
Activity 1.4/10
value = 5/100
score = 1 + 9 * value / 100
Maturity 7.5/10
value = 72.1/100
score = 1 + 9 * value / 100
Community 5.1/10
value = 46.1/100
score = 1 + 9 * value / 100
Capability 5.5/10
value = 50/100
score = 1 + 9 * value / 100

Key metrics

7.6k★ GitHub stars
0/90d Recent commits
0 devs/90d Recent contributors
2.1y Project age
7mo ago Last commit

Gotchas

No gotchas documented yet. Contribute one if you know a constraint we missed.

Labels

  • Copyleft

    GPL-3.0

    GPL/AGPL-class license — derivative or networked use may require you to open-source your own code.

  • Self-hosted

    Self-hosted

    You deploy and operate it yourself; there is no hosted option here.

  • Managed option

    Managed option

    Available as a hosted/managed service in addition to self-hosting.

documents media rag api python