OCR problems
Improve text extraction when scans are unreadable, empty, or poorly recognized.
Overview
OCR turns images and scan-heavy PDFs into searchable text. When extraction fails or looks garbled, the usual fix is a clearer source file — not forcing the same photo again.
Why this feature exists
Readable text powers search, Timeline suggestions, and Ask Sera’s understanding of your materials.
Symptoms
- Document shows little or no extracted text
- Names and dates look scrambled
- Processing completes but search cannot find known phrases
- Message that OCR produced insufficient readable content
Likely causes
- Blurry, dark, or angled phone photos
- Handwriting-heavy pages
- Low-resolution scans
- Complex multi-column layouts
- Encrypted or image-only PDFs of poor quality
Step-by-step
- 1
Re-scan with better lighting
Place the page flat, fill the frame, and avoid glare. Prefer a multi-page PDF when possible.
- 2
Upload a text-based PDF if you have one
Native digital PDFs usually extract more accurately than photographs of paper.
- 3
Rotate and crop before upload
Upright, tightly cropped pages OCR more reliably than tilted full-desk photos.
- 4
Spot-check then ask Sera
Open the document, confirm key facts, and use Ask Sera only after the text looks reasonable.
- 5
Add Timeline notes manually when needed
If a critical handwritten note will not OCR, create the Timeline event yourself and link the file.
Best practices
- Verify court dates and money amounts against the original image.
- Keep originals until you confirm extraction quality.
Productivity tips
- Batch clear scans overnight so morning review focuses on Insights, not re-uploads.
Common mistakes
- Assuming OCR equals legal accuracy without checking the source.
- Uploading many near-identical blurry shots instead of one good scan.
When to contact support
Contact support if high-quality text PDFs still produce empty extraction after re-upload while other files process normally.
Frequently asked questions
Will OCR ever be perfect?
No system is perfect on every scan. Clear inputs dramatically improve results; always verify critical details.
Screenshots
Illustration placeholder — product screenshot coming soon.
OCR problems screenshot placeholderHelpful links
Related articles
- How accurate is OCR?
OCR works best on clear, upright, high-contrast scans. Blurry photos and handwriting reduce accuracy.
- Upload failures
Recover when Add Documents fails validation, stalls, or reports a failed batch.
- Search not finding files
Improve search hits when filenames, OCR text, or case context do not match your query.
- Slow processing
Understand why organization takes time and what you can do while Sera works.
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