33 document types. Controllable OCR degradation. Zero real PII. Built for the teams training the next generation of document AI.
Download 50 real documents generated by DocSet Generator — across multiple types, clean and corrupted. No email required. No strings attached.
// 50 documents · .7z archive · No signup required
| Mode | Documents | Time | Workers | |
|---|---|---|---|---|
| Clean (100% quality) | 330 docs | 1.1s | 8 workers | |
| OCR Degraded (50%) | 330 docs | 11s | 8 workers | |
| Corrupt Text Layer | 330 docs | 11s | 4 workers | |
| Corrupt Text Layer (scale) | 3,300 docs | 104s | 4 workers |
// Worker count scales automatically based on your CPU and workload type. No configuration required.
Control exactly how hard your model has to work. From clean ground truth to heavily degraded scans — continuous spectrum, not presets. Realistic character substitutions based on actual OCR failure patterns.
Clean visual page, corrupted hidden text layer. Forces OCR fallback on tools that read embedded text directly. Tests the gap between what a document looks like and what an extractor actually reads.
Sequential review-style identifiers on every page. Essential for eDiscovery and legal document AI pipelines. Generates at scale without manual numbering.
Flatten documents to pure image — no selectable text layer at all. Tests OCR systems that can't rely on embedded text as a fallback. True visual-only extraction challenge.
All names, addresses, companies, SSNs, account numbers, and financial figures are synthetically generated. Mathematically accurate but entirely fake. Safe for any environment.
Windows desktop application. No internet required after install. No data sent to any server. Your training data stays on your machine — critical for regulated industries.
Built for ML engineers and QA teams who need training data now, not after a procurement process. Buy once, generate as many documents as you need, keep every update.
Questions? Contact us at
hello@docsetgenerator.com
Or download the free sample first