See exactly how raw files become a training-ready dataset
Upload anything, watch it get cleaned, and export a dataset your model can actually learn from.
Everything a messy file needs
OCR and text extraction
Pull clean, searchable text out of scanned PDFs, images, and screenshots automatically.
Audio transcription
Turn voice memos and recordings into timestamped, labeled transcripts ready for training.
Deduplication
Detect and remove near-duplicate files using perceptual hashing so your model never double-learns.
PII redaction
Scan every upload for personal data and redact or mask it before anything leaves your account.
Confidence scoring
Each output gets a 0–1 quality score, and low-confidence files are flagged for your review.
The data card
An auditable record of exactly what was cleaned, changed, or flagged on every file, and why — so you can trace any decision back to its source before you ship a dataset.
Built for real workloads
Language and voice studio
Upload 50 Luganda voice memos and get back a labeled speech corpus, tagged by speaker and dialect.
Powered by Sunbird AI for African languages
Business data cleaner
Upload a folder of receipts and spreadsheets and get back one tidy, structured sales record.
Every upload is routed to the transcription engine built for its language.
Voice memos, recordings, interviews
Route to the right engine
For Luganda and more
For other languages
Flag anything uncertain
Labeled, with a data card
How your data is handled
A gap, not a grudge
Labeling services need a team and a budget. Developer SDKs need an ML engineer to run them. YoDataSet needs neither — you upload a file, and a clean, structured, documented dataset comes back.