I’m a college student building an AI to kill manual data entry—and I need your brutal feedback.
Hey Indie Hackers,
I’m Raushan Maurya, a solo founder and student. For the last few months, I’ve been obsessed with a boring but massive problem: Manual Data Entry.
I watched people spend hours drawing boxes or building templates for OCR tools that break the moment a PDF is slightly tilted or a layout changes. It felt like "automation" was still requiring too much manual work.
So, I built Safeoid.
It’s a zero-template AI engine. You drop a messy, scanned document (even with handwriting or complex tables), and it gives you structured Excel/CSV data in under 5 seconds.
The current state of things:
The Tech: I've focused heavily on making the extraction "context-aware" so it handles inconsistent documents.
The Struggle: Balancing exams with bug fixing is tough, and marketing is even tougher. My first launch didn't get much traction, so I’m going back to basics.
The Goal: I want to help freelancers do 10 hours of work in 10 minutes.
I’m looking for two things from this community:
Brutal Feedback: Is the landing page clear? Does the "No Template" promise sound too good to be true?
Beta Testers: If you handle a lot of PDFs, try it out. Use code LAUNCH50 for a 50% discount—I’d love to know if it actually saves you time or where it fails.
Check it out here: https://safeoid.com
Thanks for being such a supportive community for student builders!
Cool problem to tackle — the template-based OCR bottleneck is real and frustrating for anyone dealing with diverse document sources.
One thing worth thinking about: the harder challenge isn't extraction accuracy on clean PDFs, it's what happens after extraction. Most tools get the text out but still leave users manually checking if totals add up, fields are missing, or vendor names are misread. That post-extraction validation loop is where most of the manual work actually hides.
I've been building in this exact space with a tool called Extrako — focused specifically on adding an auto-verification layer on top of extraction (checks math, flags inconsistencies, catches missing fields before output). That's what moved the needle for our users more than raw OCR accuracy alone.
Would be curious what vertical you're targeting first — different document types have very different validation needs.
Spot on analysis! I completely agree—raw OCR accuracy is a solved problem; the real friction is in the trust gap after extraction.
That’s exactly why we built Safeoid to handle more than just text-to-data. We’ve already integrated a heavy validation layer that handles the 'manual' double-checking you mentioned:
Logic & Math Verification: Our engine automatically flags inconsistencies if line items don't sum up to the total or if tax calculations seem off.
Context-Aware Checks: We go beyond the characters on the page to ensure fields aren't just 'extracted' but are actually valid and present.
Workflow Automation: The goal is to eliminate that post-extraction validation loop entirely so the user only intervenes when there’s a genuine anomaly.
Regarding the vertical—we’re seeing a lot of traction with document like complex invoices or structured reports etc, where the cost of a 'misread' is high.
Appreciate the shout-out for your project .
Respect for tackling a real problem. Manual data entry is the kind of work everyone hates, but very few solve well. The no-template promise sounds good, but you’ll need to clearly show where it actually beats classic OCR tools.
Exactly—the proof is in the results. The 'no-template' edge really shines when layouts change every time (like different vendors), where classic OCR usually breaks. I'm going to add a comparison video showing how Safeoid handles a document that would normally require a manual setup. Thanks for the respect!
Solid problem to go after. The "no template" angle is genuinely differentiating — every time I've tried OCR tools for extracting data from varied document formats, the template setup takes longer than just doing it manually for small batches. That's the core UX trap you're avoiding.
Two thoughts on positioning: first, "messy PDFs to Excel" is concrete and immediately understood, which is great. Keep that front and center over any AI buzzwords. Second, your real ICP might not be freelancers — it might be bookkeepers and small accounting firms who process hundreds of invoices monthly from dozens of different vendors, each with different layouts. They're the ones who feel the template problem most acutely and have budget to pay for it.
Re: the landing page — I'd add a live demo where people can drop a sample PDF and see results instantly. Nothing builds trust in document processing like letting someone test with their own files. Good luck with it.
I love the idea of targeting bookkeepers—they definitely face the 'different layout' nightmare daily. I'm focusing on keeping the messaging simple and avoiding AI buzzwords, just as you suggested. A live demo is on my roadmap to build that immediate trust. Thanks for the solid advice on the ICP!
The zero-template approach is the right call — that's where every other OCR tool loses people. Nobody wants to spend 30 minutes configuring extraction zones before they can even test if the tool works.
One thing I'd push on: your biggest competition isn't other OCR tools, it's copy-paste and manual retyping. People are weirdly loyal to painful workflows because they "know" it works. Your landing page needs to hit that emotional trigger — show the 45-minute manual process vs your 5-second result side by side. Make the waste feel visceral.
Also, since you're targeting freelancers: think about building a "batch mode" early. Freelancers don't process one PDF — they get handed a stack of 50 invoices on a Friday afternoon. That's where the real willingness to pay kicks in.
Actually, we already have Batch Mode ready! Users can drop up to 10 files at once, even if they have hundreds of pages each. I definitely need to make that more obvious on the landing page so freelancers know they can clear their whole Friday 'mountain' in one go. Thanks for the tip!
Brutal feedback as requested: the value prop is clear and the pain point is real. Data entry is a $3B+ market and everyone hates it. Two things I'd focus on: 1) Show a before/after demo — nothing converts like seeing 2 hours of work done in 10 seconds. 2) Price it based on time saved, not features. If you save someone 10 hours/week, $50/month is a no-brainer. Good luck, keep shipping.
Thank you for the brutal honesty! I love the idea of pricing based on 'time saved' rather than just technical features—it definitely reframes the value. I'm already working on a '10-second demo' video for the hero section. Appreciate the push!
Yes, the landing page looks very clean. The first line clearly explains what Safeoid does. Well done.
But I have one suggestion. Just like the scanned PDF example of getting organised that you have on your platform.
You could also add an example of handwritten notes being converted into a structured PDF.
This is an example of 'show, don't tell' in action.
The rest of the website is good. The colour scheme is minimalist, and the text is clear.
Great catch! 'Show, don't tell' is exactly what the landing page needs. I’m going to add a handwriting-to-Excel example this weekend. Really appreciate the feedback on the design and color scheme!
Congratulations on your launch. It looks impressive! What channels are you exploring to attract early users?
Thanks, Ajayi! I’m currently focusing on 'Alternative-To' marketing and direct outreach to Ops managers who deal with messy PDFs daily.
Marketing is a new world for me—any specific platforms you think I should double down on?
That makes sense. “Alternative-to” pages and direct outreach are effective strategies for addressing this type of problem, especially in the early stages.
For operations-heavy tools like this, I recommend focusing on platforms where people actively discuss broken workflows rather than just scrolling passively. Reddit is particularly useful, as operations managers and analysts often engage in conversations about issues like PDF chaos, automation gaps, and internal process pain points.
The key is to frame your posts around how teams are currently dealing with messy PDFs, specifically what’s going wrong, what manual processes they are using, and what solutions they have attempted, rather than simply pitching your product. This approach typically leads to honest feedback and can attract a few high-intent early users.
If you'd like, I can help you design a small pilot project on Reddit centered around these pain points. This would allow us to test your positioning and see what resonates with users before you commit more time or resources.
This is incredibly insightful advice—thank you!
I would actually love to take you up on that offer to help design a small pilot project on Reddit.
This might be better discussed off-thread. Would you prefer to continue via email or WhatsApp? I can share a quick outline of the pilot there.
I’m currently testing the engine on handwritten medical receipts and multi-page invoices. If anyone has a 'nightmare' document they want me to test for them, drop a comment and I’ll run it for you!