Document Classification
by AaaS · open-source · Last verified 2026-03-01
Classifies documents into predefined categories using LLM-based inference with configurable taxonomies. Supports batch processing, multi-label classification, confidence thresholds, and exports results to CSV or database with audit trails.
https://aaas.blog/script/document-classification ↗C+
C+—Average
Adoption: C+Quality: B+Freshness: B+Citations: CEngagement: F
Specifications
- License
- MIT
- Pricing
- open-source
- Capabilities
- llm-classification, batch-processing, multi-label-support, confidence-scoring, audit-trail
- Integrations
- openai, anthropic, pandas, scikit-learn
- Use Cases
- document-organization, content-routing, compliance-classification, email-categorization
- API Available
- No
- Language
- python
- Dependencies
- openai, anthropic, pandas, scikit-learn, tqdm
- Environment
- Python 3.11+
- Est. Runtime
- 5-30 minutes depending on document count
- Tags
- script, automation, classification, documents, categorization
- Added
- 2026-03-17
- Completeness
- 100%
Index Score
50.4Adoption
58
Quality
76
Freshness
78
Citations
48
Engagement
0