Searchability begins with document quality

Searchable records save time because people can find a phrase without reading every page. For scanned documents, searchability depends on OCR and on the quality of the source image.

Before recognition, remove unnecessary borders, straighten heavily skewed pages, and check that the text has enough contrast. Clear input gives the recognition engine more useful information.

A dependable OCR workflow

Prepare the source

Use the clearest scan available. Avoid screenshots of already compressed files when the original scan can be obtained. Make sure all pages are present and oriented correctly.

Run recognition

The OCR to text tool can extract text from supported documents and images. For scanned PDFs where the primary goal is a text output, use the PDF to text tool.

Review difficult content

Tables, multiple columns, stamps, handwriting, and unusual fonts require extra attention. OCR may recognize every character but place it in the wrong reading order. Compare important sections with the source page.

Improve accuracy before processing

Scan at a resolution that keeps small text distinct.
Use consistent page orientation.
Prefer high contrast over decorative backgrounds.
Keep pages flat and avoid shadows near the binding.
Separate handwritten notes from typed records when possible.

Searchable does not mean perfectly structured

A recognized document may support text search while still having imperfect formatting. If you need headings, lists, and sections for a knowledge base, consider converting the result into Markdown with the document to Markdown tool.

For structured data extraction, use a format and review process that matches the source. OCR can help locate records, but it should not silently replace verification.

Protect the original record

Keep the original scan alongside the recognized output. Store the processing date and review status when the document has legal, financial, or operational importance. This makes later corrections traceable.