Text recognition (OCR) is not a new technology – but in times when data quality and automation determine efficiency and competitiveness, a key question arises: Is traditional OCR still sufficient? And how can OCR accuracy be improved to minimise manual rework?
In this article, we take a look at what OCR accuracy really means, which factors influence quality, how it is measured, how it can be specifically improved – and how modern IDP solutions such as DocBits help to go far beyond the possibilities of classic OCR.
OCR accuracy describes how accurately text is recognised from an image or scan – for example from an invoice, a form or a copy of a delivery note. A high degree of accuracy reduces manual corrections, lowers process costs and creates confidence in automation.
But beware: not every OCR system is equally accurate. Factors such as document quality, font, layout complexity or language can strongly influence the recognition rate.
OCR accuracy can be measured using clear key figures:
These metrics help to objectively compare OCR systems – provided that the test conditions are identical.
Some misconceptions persist:
‘OCR works equally well on all documents.’ Wrong. Poor scans, unusual layouts or handwriting can severely impair recognition.
‘Modern OCR automatically recognises everything correctly.’ Only systems with AI training on company-specific data deliver reliable results.
‘OCR is no longer improving.’ On the contrary – adaptive systems such as DocBits improve with every document captured.
DocBits is our AI-based IDP solution that goes far beyond classic OCR. It not only recognises content, but also understands it in context. Using machine learning, DocBits adapts flexibly to different document types and layouts – without any rigid templates.
This means for your company:
| Challenge | DocBits solution |
|---|---|
|
Different layouts & formats
|
AI-based field recognition, independent of document structure |
|
Handwriting or complex fonts
|
Combination of OCR and NLP incl. handwriting recognition
|
|
Multilingual documents
|
Support for different languages & country formats
|
|
High volumes
|
Cloud-native architecture that scales flexibly – even during seasonal peaks
|
DocBits uses feedback loops, continuous training and the integration of user feedback to constantly increase the recognition rate. This makes the system more accurate and reliable with every input – without additional effort for your teams.
Building your own OCR solution sounds tempting – but it requires considerable IT expertise, resources and long-term maintenance. DocBits offers a clear benefit here:
✅ Can be used immediately
✅ Can be integrated into existing systems (ERP, DMS, workflows)
✅ Can be customised to your documents
✅ GDPR-compliant & secure
If you want to process documents automatically, you need more than just an ‘OCR box’ – you need an intelligent solution that thinks for you. DocBits not only delivers measurably high accuracy, but also a flexible, scalable and adaptive platform for your document processes.
👉 Let’s test together how high the recognition accuracy is for your invoices, delivery notes or forms. Contact us for a customised demo!
Image credits: Header- & featured image by freepik
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