[scottydelta]

AI models will eventually do this natively. This is one of the ways for models to continue to get better, by doing better OCR and by doing better context extraction.

I am already seeing this trend in the recent releases of the native models (such as Opus 4.5, Gemini 3, and especially Gemini 3 flash).

It's only going to get better from here.

Another thing to note is, there are over 5 startups right now in YC portfolio doing the same thing and going after a similar/overlapping target market if I remember correctly.

[ritvikpandey21]

yeah models are definitely improving, but we've found even the latest ones still hallucinate and infer text rather than doing pure transcription. we carry out very rigorous benchmarks against all of the frontier models. we think the differentiation is in accuracy on truly messy docs (nested tables, degraded scans, handwriting) and being able to deploy on-prem/vpc for regulated industries.

[scottydelta]

I agree with the second part in terms of differentiation you mentioned.

That plus the ability to provide customized solutions that stitch together data extraction and business logics such as reconciliations for vendor payments or sales.

I think both these reasons are what's keeping all the OCR based companies going.

My only advice would be to figure out more USPs before native models eat your lunch. Like Nanonets has its own native OCR model.

Congrats on the launch.