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tax-doc-classifier

Tax document page classifier built on Jev decisions. 100% strict accuracy across 261 IRS forms, ~$0.001 per page.

Details

External ID
1376004275
Source
GITHUB
Company
—
Product
tax-doc-classifier
Website domain
github.com
Launched
Sept. 18, 2026
Cohort
—
Upvotes
390
Upvotes percentile
0.9844991032539072
Tags
—
Fetched at
Sept. 22, 2026, 5:02 p.m.
Updated at
Sept. 22, 2026, 5:02 p.m.

Enrichment

Theme
financial and labor market data tools
Vertical
Fintech
Function
Workflow automation
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
tax form classifier for developers
Manually corrected
False

Could you build this?

Partial The wrapper script is simple, but achieving 100% strict accuracy across 261 IRS tax forms at high throughput and low cost requires a comprehensive, labeled tax domain dataset and careful OCR/vision prompting pipelines.

What it would actually take: Requires an ingestion and classification pipeline using high-accuracy document parsing (e.g., pdfplumber, Tesseract/Amazon Textract, or vision LLMs) coupled with a ground-truth dataset of IRS forms and schedules. The key difficulty is engineering fallback cascades (rule-based header anchors combined with compact classification prompts) to consistently hit 100% classification precision at a fractions-of-a-cent price point.

Competitors

Other products that read as similar to this one — 97 launches clear the similarity bar, closest 8 shown.

Attention rank: #4 of 98 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 283 days after the earliest competitor.

Other launches for this product

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