Enterprise-grade financial intelligence. Upload 10-K, 10-Q, and 8-K filings or pull directly from EDGAR. Every byte stays on your machine.
No cloud. No subscriptions. No data leaks. Just raw financial intelligence running on your hardware.
Qwen2-0.5B-Instruct runs entirely on your machine via HuggingFace Transformers. Zero data leaves your network.
Fetch 10-K, 10-Q, and 8-K filings directly from SEC EDGAR using any ticker symbol. No manual downloads needed.
Proprietary chunking engine splits 100K+ word filings into overlapping segments, processes each, then aggregates results.
Visual breakdown of Positive/Neutral/Negative sentiment across all analyzed chunks with majority-vote aggregation.
Focus analysis on specific filing sections — Risk Factors, MD&A, Liquidity — for surgical financial review.
Upload .txt, .html, or .htm SEC filings directly. HTML is automatically cleaned and normalized before processing.
Upload a filing or pull one from EDGAR. The local AI will handle the rest.
Drop your SEC filing here
Supports .txt · .html · .htm · Max 50 MB
Leave blank to analyze the entire filing
Submit a filing to see sentiment analysis, chunk breakdown, and financial insights appear here.
FilingLens AI uses a multi-stage pipeline to handle SEC filings that often exceed 200,000 words — far beyond any single LLM context window.
Files are uploaded or fetched from EDGAR. HTML is parsed and stripped to clean text using BeautifulSoup.
Documents are split into 800-word overlapping segments. The first and last halves are prioritized for very long filings.
Qwen2-0.5B-Instruct analyzes each chunk independently with a financially-tuned prompt. Runs 100% locally via PyTorch.
Majority voting across chunks produces a filing-level verdict. Sentiment distribution is computed and visualized.