Badge is now a button — clicking it opens a popup listing all
matching associates with their tier description (flight logs /
inner circle / named in files), category, and match type.
Co-Authored-By: Claude Opus 4.6 <[email protected]>
- Sort results strictly by tier (T1 > T2 > T3 > none), then by score
within the same tier. Previously a T3 full-name match could outrank
a T1 first-name match.
- Boost associate score by +2 when the person's name matches the
user's filter prefix/suffix, surfacing likely candidates higher.
Co-Authored-By: Claude Opus 4.6 <[email protected]>
Lazy-loads associates.json from data dir and serves it at /api/associates,
with fallback to empty dicts if file is missing.
Co-Authored-By: Claude Opus 4.6 <[email protected]>
7 tasks covering build script, API endpoint, frontend matching/sorting/badges,
and end-to-end testing. TDD approach with exact file paths and code.
Co-Authored-By: Claude Opus 4.6 <[email protected]>
Defines tiered prioritization of known Epstein associates in solver
results using rhowardstone/Epstein-research-data as the data source.
Associates are matched by full name, first/last, nicknames, and aliases
with frontend-side sorting and badge display.
Co-Authored-By: Claude Opus 4.6 <[email protected]>
Measures a known word's width in font context, then verifies the solver
recovers that word from its width. Proves the width table and solver
work correctly end-to-end.
Co-Authored-By: Claude Opus 4.6 <[email protected]>
Add a solve panel UI that lets users attempt to recover redacted text
by finding strings whose rendered width matches the redaction gap.
Includes charset selection, length bounds, tolerance slider, and
dictionary/enumerate/both mode controls. Results stream via SSE and
can be clicked to insert into the gap.
Co-Authored-By: Claude Opus 4.6 <[email protected]>
Add POST /api/solve endpoint that streams results via Server-Sent Events,
supporting both enumerate (brute-force) and dictionary solve modes. Add
dictionary CRUD endpoints (POST/GET/DELETE /api/dictionary) and solve
cancellation (DELETE /api/solve/{id}). Move static files mount to end of
app.py so API routes take priority.
Co-Authored-By: Claude Opus 4.6 <[email protected]>
Add solve_dictionary() for linear-scan matching of dictionary entries
against a target pixel width, and DictionaryStore for managing named
word/name lists. Reuses SolveResult from the solver module.
Co-Authored-By: Claude Opus 4.6 <[email protected]>
Distribute branch-and-bound search across CPU cores by generating
depth-2 prefixes and farming each subtree to a worker process.
Includes on_progress callback and automatic prefix depth selection.
Co-Authored-By: Claude Opus 4.6 <[email protected]>
Replace static overlay with client-side canvas rendering. Left panel
shows clickable OCR lines with font controls (dropdown + size slider).
Right panel renders green text overlay on the document via canvas.
Fonts loaded from backend TTF files using the FontFace API.
New endpoints: GET /api/fonts, GET /api/font/{id}
Co-Authored-By: Claude Opus 4.6 <[email protected]>
Instead of detecting one font per page, detect the font for each line
independently. The previous line's font is used as a prior — if it
scores within 15% of the best candidate, it's kept for consistency.
This handles documents with mixed fonts (bold headers, regular body,
different sections).
Also: redirect / to the static UI, fix data endpoint to return
per-line font info.
Co-Authored-By: Claude Opus 4.6 <[email protected]>
Word-by-word rendering hides font detection errors by repositioning
each word at the OCR'd spot. Line-by-line rendering lets the font's
own character spacing determine where each character falls — any
drift reveals that the font/size is wrong. The drift IS the feedback
mechanism.
Co-Authored-By: Claude Opus 4.6 <[email protected]>
- Render each word at its OCR'd position instead of whole lines,
so word spacing matches the original document exactly
- Add y-offset correction using glyph bounding box
- Add fine-grained font size search (±3 around coarse best, step 1)
- Add alignment quality test (48.9% hit rate, >30% threshold)
- Add scipy to dev dependencies
Co-Authored-By: Claude Opus 4.6 <[email protected]>
Adds POST /api/upload (runs full pipeline: rasterize, OCR, font detect,
overlay), GET endpoints for original/overlay images and OCR data JSON.
Also adds python-multipart, anyio, and pytest-anyio dependencies.
Co-Authored-By: Claude Opus 4.6 <[email protected]>
Add render_overlay() that composites semi-transparent green text on
the original document image using the detected font. This is the
visual proof mechanism for font detection accuracy. Also adds numpy
to project dependencies for test pixel analysis.
Co-Authored-By: Claude Opus 4.6 <[email protected]>
Add rasterize_pdf() that converts PDF pages to PIL images using
pdf2image. Supports configurable DPI and page range selection.
Includes tests verifying multi-page output, high-DPI dimensions,
and single-page extraction.
Co-Authored-By: Claude Opus 4.6 <[email protected]>
9 tasks covering: project scaffolding, PDF rasterization, OCR with
character bounding boxes, font detection, green overlay renderer,
FastAPI backend, web UI, alignment calibration, and E2E smoke test.
Co-Authored-By: Claude Opus 4.6 <[email protected]>
AI-powered redaction analysis tool for Epstein case files.
Image-first pipeline: OCR, font detection, redaction detection,
constraint solving, and Claude API guessing with visual overlay
verification.
Co-Authored-By: Claude Opus 4.6 <[email protected]>
