Viewing profile — diptanu

The tricky part of doing this in production is cloning sandboxes across nodes. You would have to snapshot the resident memory, file system (or a CoW layer on top of the rootfs), mo…

There was an unusual traffic spike around that time, if you try now it should be a lot faster. We were calling up but there was not enough GPU capacity at that time.

We haven’t tested Chandra yet, because it’s very new. Under the hood Tensorlake is very similar to Marker - it’s a pipeline based OCR API, we do layout detection, Text Recognition …

It does, we have users in Europe and Asia using it with non English languages. Can you please send me a message at diptanu at tensorlake dot ai, would love to see why it didn’t wor…

OP mentioned Gemini and not Google’s Vertex OCR API which has very different performance and accuracy characteristics than Gemini

Hey! I am the founder of Tensorlake. We benchmarked the models that our customers consider using in enterprises or regulated industries where there is a big need for processing doc…

We parse PDFs to convert them to text in a linearized fashion. The use case for this would be to use the content for downstream use cases - search engine, structured extraction, et…

Yeah we don't handle this yet.

Yes this! We training it on a ton of diverse document images to learn reading order and layouts of documents :)

There are many cases images are exported as PDFs. Think invoices or financial statements that people send to financial services companies. Using layout understanding and OCR based …

Disclaimer - Founder of Tensorlake, we built a Document Parsing API for developers. This is exactly the reason why Computer Vision approaches for parsing PDFs works so well in the …

We started with using LLMs for parsing at Tensorlake ( https://docs.tensorlake.ai ), tried Qwen, Gemini, OpenAI, pretty much everything under the sun. My thought was we could skip …

I don’t think what you are describing as heavy is that big of a deal if an external orchestration system is required only for deployment, while the workflow can be developed and te…

Great points. Besides performance, centralized coordination and distributed dataplane is better for operability of schedulers as well. Some examples - Being able to roll out new fe…

Hi HN, we are announcing a TypeScript library for re-ranking search results from vector databases or from full text search indexes. Re-Ranking is a very important step in retrieval…