Confere: Local Receipt Reading With a Paper Trail

Description and use

Confere prototype enables Brazilian freelancers to locally process receipt photos, review OCR output, detect duplicates, approve expenses, and export evidence packets with original images and hashes.

Problem

Freelancers need a trustworthy, inspectable way to convert receipt photos into approved expenses without re‑entry or hidden inference costs.

Outcome

The prototype processes three sample receipts locally in under a second, correctly identifies totals, blocks duplicate approvals, and produces an evidence packet that can be independently verified.

Workflow

• Add PNG, JPG or WebP images
• Inspect source image, correct merchant/date/BRL amount and choose a category
• Resolve possible duplicates before approval
• Export a CSV or a self‑contained evidence packet containing the original images, recognition text, corrections, source‑image hashes and review timestamps

Evidence

In real browser inference on clean synthetic images, the café's source total 34,90 and stationery shop's 124,90 were both read and parsed correctly.

Source

The duplicate failed approval until resolved. Two approved originals produced exactly 159,80.

Source

Eleven unit tests cover the calculation and validation boundaries.

Source