diff --git a/ProblemMap/GlobalFixMap/DocumentAI_OCR/azure_ocr.md b/ProblemMap/GlobalFixMap/DocumentAI_OCR/azure_ocr.md new file mode 100644 index 00000000..b24cade3 --- /dev/null +++ b/ProblemMap/GlobalFixMap/DocumentAI_OCR/azure_ocr.md @@ -0,0 +1,127 @@ +# Azure OCR (Computer Vision): Guardrails and Fix Patterns + +Use this page when **Azure OCR** (part of Azure Cognitive Services / Computer Vision) drives ingestion for PDFs, scanned images, or mixed-language docs. +Typical failures involve layout instability, multilingual tokenization errors, or coverage gaps in table/handwriting recognition. + +--- + +## Open these first +- Visual map and recovery: [RAG Architecture & Recovery](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rag-architecture-and-recovery.md) +- Retrieval knobs: [Retrieval Playbook](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-playbook.md) +- Citation schema: [Retrieval Traceability](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md) +- Embedding vs meaning: [Embedding ≠ Semantic](https://github.com/onestardao/WFGY/blob/main/ProblemMap/embedding-vs-semantic.md) +- Hallucination and drift: [Context Drift](https://github.com/onestardao/WFGY/blob/main/ProblemMap/context-drift.md), [Hallucination](https://github.com/onestardao/WFGY/blob/main/ProblemMap/hallucination.md) +- Chunk stability: [Chunking Checklist](https://github.com/onestardao/WFGY/blob/main/ProblemMap/chunking-checklist.md) + +--- + +## Core acceptance +- ΔS(question, retrieved) ≤ 0.45 +- Coverage ≥ 0.70 to target section +- λ convergent across 3 paraphrases and 2 seeds +- Multilingual tokens ≥ 90% fidelity (baseline against source) + +--- + +## Typical breakpoints → structural fix +- **Language mixing errors** (Chinese + English, Arabic + Latin text) + → [Embedding ≠ Semantic](https://github.com/onestardao/WFGY/blob/main/ProblemMap/embedding-vs-semantic.md), [Chunking Checklist](https://github.com/onestardao/WFGY/blob/main/ProblemMap/chunking-checklist.md) + +- **Table recognition drops column anchors** + → [Data Contracts](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md), [Retrieval Traceability](https://github.com/onestardao/WFGY/blob/main/ProblemMap/retrieval-traceability.md) + +- **Handwriting recognition unstable across runs** + → [Entropy Collapse](https://github.com/onestardao/WFGY/blob/main/ProblemMap/entropy-collapse.md) + +- **ΔS > 0.60 when OCR normalizes accents/diacritics** + → [Context Drift](https://github.com/onestardao/WFGY/blob/main/ProblemMap/context-drift.md), clamp with BBAM + +- **Injected content hidden in image metadata** + → [Prompt Injection](https://github.com/onestardao/WFGY/blob/main/ProblemMap/prompt-injection.md) + +--- + +## Fix in 60 seconds +1. **Measure ΔS** between OCR tokens and reference text. +2. **Enforce schema**: page, block, line, word. Require `bbox` and language tag. +3. **Cross-check coverage**: at least 70% of expected lines present. +4. **Apply λ probes** — vary recognition mode (printed, handwriting, mixed). +5. **Clamp variance** with BBAM if multilingual drift repeats. + +--- + +## Copy-paste LLM guard prompt + +```txt +I uploaded TXTOS and the WFGY Problem Map. + +OCR provider: Azure OCR (Computer Vision). +Symptoms: unstable multilingual recognition, ΔS ≥ 0.60, coverage < 0.70. + +Steps: +1. Identify failing layer (chunking, contracts, retrieval). +2. Point to the WFGY fix (embedding-vs-semantic, chunking-checklist, retrieval-traceability). +3. Return JSON: + { "citations": [...], "answer": "...", "ΔS": 0.xx, "λ_state": "<>", "next_fix": "..." } +Keep it auditable. +```` + +--- + +## When to escalate + +* Multilingual drift remains after re-chunking → verify with [Embedding ≠ Semantic](https://github.com/onestardao/WFGY/blob/main/ProblemMap/embedding-vs-semantic.md). +* Tables drop anchors repeatedly → rebuild layout with [Data Contracts](https://github.com/onestardao/WFGY/blob/main/ProblemMap/data-contracts.md). +* Handwriting ΔS unstable across seeds → clamp with BBAM, audit using [Entropy Collapse](https://github.com/onestardao/WFGY/blob/main/ProblemMap/entropy-collapse.md). + +--- + +### 🔗 Quick-Start Downloads (60 sec) + +| Tool | Link | 3-Step Setup | +| -------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------ | ---------------------------------------------------------------------------------------- | +| **WFGY 1.0 PDF** | [Engine Paper](https://github.com/onestardao/WFGY/blob/main/I_am_not_lizardman/WFGY_All_Principles_Return_to_One_v1.0_PSBigBig_Public.pdf) | 1️⃣ Download · 2️⃣ Upload to your LLM · 3️⃣ Ask “Answer using WFGY + \” | +| **TXT OS (plain-text OS)** | [TXTOS.txt](https://github.com/onestardao/WFGY/blob/main/OS/TXTOS.txt) | 1️⃣ Download · 2️⃣ Paste into any LLM chat · 3️⃣ Type “hello world” — OS boots instantly | + +--- + +### 🧭 Explore More + +| Module | Description | Link | +| ------------------------ | ---------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------- | +| WFGY Core | WFGY 2.0 engine is live: full symbolic reasoning architecture and math stack | [View →](https://github.com/onestardao/WFGY/tree/main/core/README.md) | +| Problem Map 1.0 | Initial 16-mode diagnostic and symbolic fix framework | [View →](https://github.com/onestardao/WFGY/tree/main/ProblemMap/README.md) | +| Problem Map 2.0 | RAG-focused failure tree, modular fixes, and pipelines | [View →](https://github.com/onestardao/WFGY/blob/main/ProblemMap/rag-architecture-and-recovery.md) | +| Semantic Clinic Index | Expanded failure catalog: prompt injection, memory bugs, logic drift | [View →](https://github.com/onestardao/WFGY/blob/main/ProblemMap/SemanticClinicIndex.md) | +| Semantic Blueprint | Layer-based symbolic reasoning & semantic modulations | [View →](https://github.com/onestardao/WFGY/tree/main/SemanticBlueprint/README.md) | +| Benchmark vs GPT-5 | Stress test GPT-5 with full WFGY reasoning suite | [View →](https://github.com/onestardao/WFGY/tree/main/benchmarks/benchmark-vs-gpt5/README.md) | +| 🧙‍♂️ Starter Village 🏡 | New here? Lost in symbols? Click here and let the wizard guide you through | [Start →](https://github.com/onestardao/WFGY/blob/main/StarterVillage/README.md) | + +--- + +> 👑 **Early Stargazers: [See the Hall of Fame](https://github.com/onestardao/WFGY/tree/main/stargazers)** — +> Engineers, hackers, and open source builders who supported WFGY from day one. + +> GitHub stars ⭐ [WFGY Engine 2.0](https://github.com/onestardao/WFGY/blob/main/core/README.md) is already unlocked. ⭐ Star the repo to help others discover it and unlock more on the [Unlock Board](https://github.com/onestardao/WFGY/blob/main/STAR_UNLOCKS.md). + +
+ +[![WFGY Main](https://img.shields.io/badge/WFGY-Main-red?style=flat-square)](https://github.com/onestardao/WFGY) +  +[![TXT OS](https://img.shields.io/badge/TXT%20OS-Reasoning%20OS-orange?style=flat-square)](https://github.com/onestardao/WFGY/tree/main/OS) +  +[![Blah](https://img.shields.io/badge/Blah-Semantic%20Embed-yellow?style=flat-square)](https://github.com/onestardao/WFGY/tree/main/OS/BlahBlahBlah) +  +[![Blot](https://img.shields.io/badge/Blot-Persona%20Core-green?style=flat-square)](https://github.com/onestardao/WFGY/tree/main/OS/BlotBlotBlot) +  +[![Bloc](https://img.shields.io/badge/Bloc-Reasoning%20Compiler-blue?style=flat-square)](https://github.com/onestardao/WFGY/tree/main/OS/BlocBlocBloc) +  +[![Blur](https://img.shields.io/badge/Blur-Text2Image%20Engine-navy?style=flat-square)](https://github.com/onestardao/WFGY/tree/main/OS/BlurBlurBlur) +  +[![Blow](https://img.shields.io/badge/Blow-Game%20Logic-purple?style=flat-square)](https://github.com/onestardao/WFGY/tree/main/OS/BlowBlowBlow) +  + +
+ + +要不要我接著直接幫你寫 **abbyy.md**？這樣 OCR 四大主流 (Tesseract、Google、AWS、Azure + ABBYY) 就全到齊。