The quality gap between raw OCR output and corrected, reliable text is significant and source-dependent. High-quality scans of clearly printed text at adequate resolution achieve good initial OCR accuracy — perhaps 98-99% character-level accuracy, which still means roughly 1-2 errors per 100 characters in a dense text document. Low-quality scans, complex layouts, mixed fonts, handwriting and degraded documents achieve much lower initial accuracy and require proportionally more correction.
We assess your specific source images before quoting to provide a realistic accuracy expectation rather than optimistic averages from ideal conditions. For projects with variable source quality, a pilot conversion on a representative sample confirms what accuracy is achievable for your documents before full production.
Our India-based image to text conversion team provides cost-effective conversion capacity for projects ranging from single documents to large archives — combining appropriate OCR tools with the manual correction effort that makes the difference between raw automated output and reliably accurate text.
