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39 lines
1.9 KiB
Markdown
39 lines
1.9 KiB
Markdown
---
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name: multimodal-evidence
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description: Extract and verify evidence from images, documents, and video without redundant inspection
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version: 1.0.1
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category: media
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tags: [image, video, document, evidence, ocr]
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status: published
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confidence: 1.0
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source: builtin
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owner: ""
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created: "2026-08-30T00:00:00Z"
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---
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## When to Use
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Use when the answer or requested artifact depends on visual, temporal, tabular, or textual evidence contained in images, documents, or video.
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## Procedure
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1. Identify the evidence required: objects, text, values, ordering, timestamps, labels, or visual relationships.
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2. Inspect the whole input or a broad representative sample first to establish structure and likely evidence locations.
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3. Narrow to relevant pages, frames, regions, or time intervals and record observations with their locations.
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4. Use the format's native parser for exact text and numbers: for example `python-docx` or ZIP/XML inspection for DOCX, `pdftotext` or a PDF library for PDF, spreadsheet readers for XLSX, and OCR only when the source is image-based. Do not search binary office files with plain `grep` or `cat`.
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5. Resolve conflicts with one targeted reinspection at better scale or a nearby frame rather than repeating the same crop.
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6. Build the answer or artifact from the evidence ledger and perform a final coverage check against every requested item.
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## Pitfalls
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- Do not infer unseen content from filenames, surrounding text, or a single thumbnail.
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- Do not repeatedly inspect nearly identical regions without a new hypothesis.
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- Do not trust OCR blindly for small labels, punctuation, or numeric values.
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- Do not finalize before checking that every requested item has supporting evidence.
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## Verification
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- Each factual output can be traced to a page, frame, region, or timestamp.
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- Exact labels and numbers were visually checked after extraction.
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- The final response or artifact covers all requested evidence categories.
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