OCR extracts business names, formation dates, and addresses from uploaded documents automatically...OCR extracts business names, formation dates, and addresses from uploaded documents automatically...
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OCR extracts business names, formation dates, and addresses from uploaded documents automatically. But users still need to trust what the system found before anything gets submitted.
We designed the confirmation flow around editable fields that surface extracted data clearly. Users review what the system found and correct where needed, rather than typing everything from scratch. The design choice was to make the AI output feel transparent and controllable.
The design choice was to make the AI output feel transparent and controllable. The result is a flow that reduces data entry to the minimum while keeping users fully in control of what gets submitted.
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Paul 's avatar
Great work!
Mark's avatar
Editable-by-default beats a blind accept/reject toggle here — it keeps the correction cost at one field when OCR gets a formation date wrong, instead of forcing a full manual re-entry the moment trust breaks on a single value.
Maty's avatar
Confirmation flows for OCR-extracted data are so easy to get wrong, either too much friction re-verifying everything or too little and errors slip through. Did you test how far you could push toward minimal review before people stopped trusting the auto-fill entirely?
Rafee 's avatar
The editable-fields approach is smart, letting people verify OCR output instead of trusting it blindly probably saves you a ton of support tickets down the line.
acream's avatar
clean design!
Chris's avatar
Looks good. I like the minimalist approach. Nice and clean.
Adeniran's avatar
This is great tho
Tabish's avatar
Making AI output editable rather than just showing a result is such a smart trust-building move. Users feel in control instead of just hoping the system got it right.
Maxime's avatar
The editable confirmation step does more than correct OCR errors. It creates an audit boundary between machine extraction and user intent. I’d surface confidence selectively by flagging uncertain fields instead of asking users to distrust every value equally. Strong product thinking.
Michael's avatar
Good work
Ugwuanyi's avatar
Love this approach Making AI-generated data editable and transparent is such a smart UX decision. It reduces friction while still giving users full control. Really clean work!
Tabish's avatar
The UX tension you've solved here is the right one. AI does the extraction but the user has to own what gets submitted, so locked read-only fields would create exactly the wrong feeling. Editable fields that surface the extracted value flip the dynamic from rubber-stamping to...
Saira's avatar
I like the clean interface + UX decision you made.
Saira's avatar
Goated work
Mohsen's avatar
One detail I would want in this review step is a link from each extracted value back to the source region. A wrong date can still look perfectly plausible in an editable field. Did you include a document crop or highlight beside the field, and how did you balance that extra context against keeping the form compact?
Jos's avatar
This is a smart UX pattern letting users review and edit AI-extracted data builds trust without adding extra friction.
Eterna Clarity logo
Editable fields are the right call. OCR is never perfect, so letting people correct the extraction keeps trust instead of forcing a restart.
Hello's avatar
Nice Design
Azizxon's avatar
Would you keep the user's corrections if they upload the document again? Having to fix the same date twice would make this flow feel much less helpful.
Pixel One's avatar
Pixel One logo
There's a lot of nuanced involved with this. When you're changing the date we need to know if it's because the AI captured it wrong or because your document is wrong given it has legal implications. Many small challenges like this with it.
Azizxon's avatar
That distinction makes sense. I meant retaining a confirmed OCR correction for the same document, rather than silently applying it to a new upload. Do you show the extracted value alongside the corrected one?
Pixel One's avatar
Pixel One logo
Yes, the original document is highlighted with the extracted fields!
Diana's avatar
the checklist showing which document is already confirmed before you open the next one is what actually kills the anxiety here, not the editable fields
Arnas's avatar
Letting people check what the OCR found before it's saved is the part most onboarding flows skip
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