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README.md
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title: PolicyTrace
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sdk: docker
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app_port: 7860
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pinned:
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license: mit
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# PolicyTrace
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title: PolicyTrace
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emoji: 📄
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colorFrom: gray
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colorTo: yellow
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sdk: docker
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app_port: 7860
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pinned: true
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license: mit
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short_description: Reviewable Document AI for UK motor insurance PDF packs
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# PolicyTrace
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**A reference Document AI system from [ai·toolstack](https://www.ai-toolstack.com/projects/policytrace/).**
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PolicyTrace turns a multi-PDF UK motor insurance pack into a typed Golden Record with field-level citations, arbitration between source documents, PII masking and a human review loop.
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> **First load can take about a minute.** This demo sleeps when idle and wakes on the first request.
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## Try it
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1. Download the synthetic demo pack from the repository: `sample_data/policytrace_demo_pack/`
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2. Upload the PDFs here.
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3. Inspect each extracted field against its highlighted source location, then verify, flag or override it.
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Use only synthetic or redacted documents in this public demo.
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## Learn how it is built
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- System overview and chapters: https://www.ai-toolstack.com/projects/policytrace/
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- Source code: https://github.com/AItoolstack/ai-policytrace
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- Architecture: https://github.com/AItoolstack/ai-policytrace/blob/main/docs/architecture.md
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## Honest limits
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Extraction is synchronous (roughly 30–90 seconds per pack). Provenance is reviewer evidence, not a legal-grade guarantee. Production use would need authentication, durable storage, audit logs, monitoring and a larger evaluation set.
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