ScriptAI for Codev1.0

Financial Report Parser

by Community · open-source · Last verified 2026-03-17

Parses SEC filings, earnings call transcripts, and annual reports using FinBERT for sentiment analysis and a table-extraction pipeline that converts HTML/XBRL financial statements into normalized pandas DataFrames. Exports structured financial metrics to a database and generates LLM-ready summaries for investor Q&A.

https://github.com/ProsusAI/finBERT ↗

C+

C+—Average

Adoption: BQuality: AFreshness: ACitations: C+Engagement: F

Specifications

License: MIT
Pricing: open-source
Capabilities: sentiment-analysis, table-extraction, xbrl-parsing, metric-normalization
Integrations: transformers, pandas, beautifulsoup4, sec-api, postgresql
Use Cases: investment-research, risk-monitoring, earnings-alert-systems
API Available: No
Language: python
Dependencies: transformers, pandas, beautifulsoup4, lxml, psycopg2, sec-api
Environment: Python 3.10+
Est. Runtime: 2-10 minutes per filing
Tags: financial-nlp, sec-filings, earnings, table-extraction, finbert
Added: 2026-03-17
Completeness: 100%

Index Score

Adoption

Quality

Freshness

Citations

Engagement

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