Automate the manual work in Nanonets OCR

FullSpec maps how Nanonets OCR fits into your day-to-day, finds the repetitive work worth automating, and gives you a clear plan to connect it with the rest of your tools.

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Nanonets OCR by the numbers

Insights from real process mapping sessions that involve Nanonets OCR.

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Top 5 Nanonets OCR friction points when done manually

Re-keying Nanonets OCR extraction errors

When Nanonets OCR misreads fields on invoices or receipts, you have to manually correct and re-enter the data into your system instead of trusting the output.

78% report this

Validating Nanonets OCR results before posting

You must review every extracted document from Nanonets OCR line-by-line to catch missed fields or formatting issues before the data can be used downstream.

71% report this

Sorting documents for Nanonets OCR processing

You spend time organizing and categorizing documents by type before feeding them into Nanonets OCR because the tool needs consistent document formats to extract accurately.

58% report this

Handling Nanonets OCR confidence score gaps

When Nanonets OCR flags extractions with low confidence scores, you have to manually investigate the source document and decide whether to accept or reject each result.

45% report this

Exporting and reformatting Nanonets OCR output

After Nanonets OCR extracts data, you must export it and reformat it to match your accounting software or spreadsheet structure instead of it flowing directly into your system.

28% report this

Data points based on anonymized data from FullSpec mapping sessions

What you can automate in Nanonets OCR

Browse popular Nanonets OCR automations FullSpec can map for you. Pick one to map, see what it's costing you today, and get a plan to automate it end to end.