Yoruba OCR · structured datasets · human review
Build Yoruba LLM training data from scans
Upload page images, run PaddleOCR for text extraction, correct diacritics, and organize work in collections (plain OCR, VLM-style turns, or exam Q&A). No signup — your work stays on the server for about 4 hours; export before it is auto-deleted.
Pipeline
One workspace, two kinds of AI
PaddleOCR handles printed text for OCR Yoruba collections. Gemini (or OpenAI-compatible) is only for optional exam paper vision assist — structured JSON you still edit and save yourself.
PaddleOCR extraction
Local pipeline or hosted Paddle API — batch extract with chunking for large sets, diacritics editor, and confidence cues.
Gemini exam assist
Set GEMINI_API_KEY on the server for "Suggest from image" on exam Q&A items. No key = manual entry only — OCR still works.
Collections & schemas
Split OCR, VLM multi-turn, and exam workflows. Workspace shows vision assist status with audited timestamps.
Exports for training
ZIP with JSON/CSV and train/val/test splits — filter by collection and download with your session identity.
Quick access to tone marks (á à ẹ ọ ṣ, …) and image preview while you refine transcriptions and structured payloads.