How to Get Accurate Scans Every Time with OmniPage
1) Prep the document
- Remove staples/clips and flatten pages.
- Clean the scanner glass and remove dust or marks.
- Use originals when possible (avoid creased, torn, or very glossy paper).
2) Scanner settings
- Resolution: 300 dpi for standard text; 400–600 dpi for small fonts or detailed documents.
- Color mode: Grayscale for black‑and‑white text; Color for mixed graphics or colored highlights.
- File format: Scan to TIFF or PNG for best OCR input; use PDF/A if archiving.
3) OmniPage import & preprocessing
- Use built‑in image enhancement (deskew, despeckle, contrast) before OCR.
- Enable automatic page layout detection so columns, tables, and images are identified.
- If pages vary, run batch preprocessing with consistent settings.
4) Recognition settings
- Select the correct language(s) for text recognition.
- Pick the right OCR engine mode (accurate/quality mode over speed when precision matters).
- Configure zone/manual correction for problematic areas (tables, headers, footers, forms).
5) Post‑OCR checks & correction
- Use OmniPage’s confidence/highlight view to find low‑confidence words quickly.
- Run the built‑in spellcheck and accept/reject suggested corrections.
- Manually correct complex elements (tables, multi‑column layouts) in the editor.
6) Output choices & validation
- Export to searchable PDF for archiving, or to Word/Excel when editing is required.
- For tabular data, export to Excel/CSV and verify column alignment and numeric formats.
- Compare samples against originals (spot‑check pages) to confirm accuracy before mass runs.
7) Automation for high volume
- Create workflows with predefined preprocessing and recognition profiles.
- Use hot folders or OmniPage Server for unattended batch processing.
- Periodically sample outputs and adjust profiles if accuracy drifts.
8) Troubleshooting quick fixes
- Blurry scans: increase dpi, slow scanner speed, or rescan from original.
- Skewed text: enable deskew and reprocess.
- Mixed languages: set multiple recognition languages or run language‑specific batches.
- Poor table recognition: define zones or use table detection settings.
Apply these steps as a standard checklist; for critical conversions choose higher dpi, quality OCR mode, and manual review.
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