MegaParse
File Parser optimised for LLM Ingestion with no loss 🧠 Parse PDFs, Docx, PPTx in a format that is ideal for LLMs.
MegaParse scores 3.9/10 (Emerging) in Data Extraction.
Language Python License Apache-2.0 Stars 7.4k★ Type library Self-host Yes Repo QuivrHQ/MegaParse Homepage https://github.com/QuivrHQ/MegaParse
Quality
Emerging 3.9
Adoption 47
Activity 2
Maturity 57
Community 41
Capability 50
Show the math
Overall 3.9/10
value = 3.9/10
score = value
Adoption 5.2/10
value = 46.7/100
score = 1 + 9 * value / 100
Activity 1.1/10
value = 1.6/100
score = 1 + 9 * value / 100
Maturity 6.1/10
value = 56.7/100
score = 1 + 9 * value / 100
Community 4.7/10
value = 41.4/100
score = 1 + 9 * value / 100
Capability 5.5/10
value = 50/100
score = 1 + 9 * value / 100
Key metrics
7.4k★ GitHub stars
0/90d Recent commits
0 devs/90d Recent contributors
2.1y Project age
1.4y ago Last commit
Gotchas
No gotchas documented yet. Contribute one if you know a constraint we missed.
Labels
- Inactive
No push in 1.4y
No commits in over a year; effectively dormant.
- Self-hosted
Self-hosted
You deploy and operate it yourself; there is no hosted option here.
pdf docx rag tables python