AnkiConnect errors¶
Symptom: Connection error when trying to push cards.
Cause: Anki is not running, or AnkiConnect is not installed.
Fix:
Open Anki.
Confirm AnkiConnect is installed (Tools → Add-ons).
Verify it is listening: open
http://localhost:8765in a browser.
Poor OCR quality¶
Symptom: Incorrect text, garbled labels, or missed regions.
Fixes:
Add the correct language code:
--langs en,esfor Spanish images.Use
--smartto let Claude correct OCR errors automatically.Ensure the source image is high resolution:OCR quality drops significantly on low-res images.
Too many small occlusion boxes¶
Symptom: Every word becomes a separate occlusion; boxes are not grouped.
Fix: Increase merge thresholds in your config or via CLI:
niobium --directory ./images --deck-name MyDeck --merge-lim-x 20 --merge-lim-y 20Or set higher values in your config:
merge:
enabled: true
limit_x: 20
limit_y: 20Smart mode falls back to rule-based filtering¶
Symptom: Niobium prints “Falling back to rule-based filtering.”
| Cause | Fix |
|---|---|
| No API key | Set ANTHROPIC_API_KEY env var or add api_key to llm config |
| API error or timeout | Check your network; the run completes using rule-based filtering |
| Malformed Claude response | Usually transient; retry the run |
No images extracted from PDF¶
Symptom: Zero images extracted from a PDF.
Cause: The PDF pages contain only vector graphics or text rendered as outlines:not embedded raster images.
Fix: Convert PDF pages to raster images using an external tool (e.g., pdftoppm) and then use --directory mode.
Cache not working¶
Symptom: Images that were already processed are being reprocessed.
Possible causes:
--no-cacheis set on the command lineThe image file was modified (changes its content hash)
The cache was cleared with
--clear-cache
Fix: Remove --no-cache if present. If the file content changed, Niobium correctly treats it as a new image.
EasyOCR first-run download¶
Symptom: First run takes several minutes before processing starts.
Cause: EasyOCR downloads PyTorch and language model weights on first use.
Fix: This is expected. Subsequent runs use the cached models and start much faster.