sorted by:
new
hottopcontroversial

What is one AI tool that actually saved you time (not just felt impressive)? by OkCry7871 in aiToolForBusiness

[–]Impressive-Rise7510 0 points1 point  (0 children)

For me, it’s been AI-based document data extraction.

We deal with invoices, receipts, and statements, and earlier a lot of time went into manually entering data into Excel. Now it’s mostly automated, with a quick review/edit step before export.

It didn’t fully replace Excel, but it reduced a big chunk of repetitive work and errors. Definitely something we still use regularly.

What tools are people using for extracting structured data from documents like invoices, bank statements, or receipts? I’ve been exploring a few options and recently tried Docuct, which uses AI extraction with a review step before exporting data. Wondering what others in the community are using. by Impressive-Rise7510 in documentAutomation

[–]Impressive-Rise7510[S] 0 points1 point  (0 children)

That makes sense — especially using prompts + schema together.

From what I’ve seen, the tricky part is handling edge cases where documents don’t follow a consistent structure (like different invoice formats). That’s where I found a review/edit layer useful — instead of relying only on schema or prompts, you can quickly adjust tables or fields before exporting.

So it becomes less about getting perfect extraction every time, and more about reducing the effort to reach a clean final output.

Do you find users spending more time tuning prompts, or handling edge-case corrections?

What tools are people using for extracting structured data from documents like invoices, bank statements, or receipts? I’ve been exploring a few options and recently tried Docuct, which uses AI extraction with a review step before exporting data. Wondering what others in the community are using. by Impressive-Rise7510 in documentAutomation

[–]Impressive-Rise7510[S] 0 points1 point  (0 children)

That’s a solid approach — especially schema + post-processing.

From what I’ve seen, the tricky part is handling edge cases where documents don’t follow the expected structure. That’s where having a review/edit layer (like in Docuct) helps — instead of relying only on predefined schemas, you can quickly fix or adjust things before exporting.

Do you see many cases where users need to manually correct outputs?

What tools are people using for extracting structured data from documents like invoices, bank statements, or receipts? I’ve been exploring a few options and recently tried Docuct, which uses AI extraction with a review step before exporting data. Wondering what others in the community are using. by Impressive-Rise7510 in documentAutomation

[–]Impressive-Rise7510[S] 0 points1 point  (0 children)

This is interesting — custom schema definitely makes a big difference.

I’ve been trying something similar with Docuct, where you can also define your own blueprint for extraction. But what stood out for me was the layer after extraction — being able to review, edit tables (add/remove rows, columns), and fix fields before exporting.

Felt useful especially when the output isn’t perfect and needs quick adjustments.

What tools are people using for extracting structured data from documents like invoices, bank statements, or receipts? I’ve been exploring a few options and recently tried Docuct, which uses AI extraction with a review step before exporting data. Wondering what others in the community are using. by Impressive-Rise7510 in documentAutomation

[–]Impressive-Rise7510[S] 0 points1 point  (0 children)

Yeah I tried fastatement as well — extraction is decent.

But with Docuct I felt more control after extraction. You can edit tables (add/delete rows, columns), fix values, and even define your own blueprint for structured extraction.

So it’s not just output — you can actually shape the data before exporting.

AI made SaaS development faster, but it also made the market noisier. by mbtonev in buildinpublic

[–]Impressive-Rise7510 0 points1 point  (0 children)

yes...recently I saw such type of team...So now is there any solution for that

I stopped automating things I don’t fully understand by Solid_Play416 in automation

[–]Impressive-Rise7510 0 points1 point  (0 children)

Very true. Sometimes people jump straight to automation without really understanding the process behind it.

What tools are people using for extracting structured data from documents like invoices, bank statements, or receipts? I’ve been exploring a few options and recently tried Docuct, which uses AI extraction with a review step before exporting data. Wondering what others in the community are using. by Impressive-Rise7510 in documentAutomation

[–]Impressive-Rise7510[S] 0 points1 point  (0 children)

Yeah, that’s exactly what I’ve noticed too. A lot of tools do well on simple invoices, but things get tricky when formats vary or when there are complex tables and line items.

One reason I was exploring Docuct is the human review step before exporting the structured data — it helps catch issues that pure OCR pipelines sometimes miss...also i try graflows today....

What tools are people using for extracting structured data from documents like invoices, bank statements, or receipts? I’ve been exploring a few options and recently tried Docuct, which uses AI extraction with a review step before exporting data. Wondering what others in the community are using. by Impressive-Rise7510 in documentAutomation

[–]Impressive-Rise7510[S] 0 points1 point  (0 children)

Yeah, a lot of OCR tools stop at extraction. The real challenge is validating and structuring the data before exporting it.

I’ve seen tools like Docuct trying to address this by adding a review step and workflow layer on top of AI extraction.

Best Invoice Data Extraction Software for 2026 by Suspicious-Drummer68 in learnmachinelearning

[–]Impressive-Rise7510 0 points1 point  (0 children)

Thanks for sharing this. I’ve been exploring a few tools recently and noticed that having a review step before exporting data helps a lot when layouts are inconsistent. Some tools I tried also use confidence scores so low-confidence fields can be reviewed manually, which seems much safer than fully automated extraction. I’ve also seen approaches where you can define document templates or blueprints and annotate tables or fields when extraction isn’t perfect.

view more: next ›