What I really like it how it preserves the original document layout and the precision I've been getting when trying out. I've been testing it out for personal use with receipts as images and pdfs with payments details to extract data as table with the use of an llm and it has worked with perfect precision. I still have to try the API, but I also like it comes with a postman documentation for testing. The API also seems easy to use, at least from the examples I have read. I also realized it has a n8n and MCP integration which will be very usefull for my uses. Review collected by and hosted on G2.com.

I haven't got the problem, but I don't know if I like new page markers and also I think for some case it could be useful to have markers for images that aren't text to signal that something was there, like bar codes or stamps that could be useful when automating the resding of a document by an AI that needs to know the document include this features.. Review collected by and hosted on G2.com.

I highly recommend LLM Whisperer. While some of Unstract’s other offerings don’t perfectly align with our use case, their layout preservation tool has been an absolute game-changer. It’s remarkably accurate—so much so that I no longer feel the need to double-check the extracted data. I have complete confidence in LLM Whisperer, and it works seamlessly across multiple formats, including scanned and digital PDFs as well as spreadsheets.

Before discovering LLM Whisperer, I searched extensively for a reliable solution to preserve layout when extracting data from PDFs. Most tools I found were either overpriced or failed to meet the mark. LLM Whisperer was the only one that truly fit my needs.

There’s still room for improvement—for example, it can’t yet extract signatures—but its ability to preserve checkboxes (in form mode), text positioning, and overall layout accuracy is outstanding. Kudos to the Unstract team, and thank you for creating such a reliable tool! Review collected by and hosted on G2.com.

Honestly, not much. This particular offering works like a charm. I’d say I’d like to be able to extract signatures and illustrations one day. But that isn’t much about dislike as it is about product limitations, complexity of extracting that sort of data. Honestly, even compliance - can you imagine the issue with extracting signatures at scale!! Review collected by and hosted on G2.com.

I value how accurately it converts complex PDFs into clean text, even when the tables have unusual or inconsistent structures. It outperformed every other tool I tested, from OCR engines to PDF parsers. Its reliability makes it easy to embed in a fully automated monitoring and prospecting LLM pipeline. Review collected by and hosted on G2.com.

The main drawback for me is the usage limit imposed by the free plan. Review collected by and hosted on G2.com.

I was doing a pdf extraction using many python libraries didnt able to extract effuciently and also values was in image format

Then llm whisper was the only efficient method

It was about 99% percent accurate on my extraction

To be honest i am very thankfull. So that i was able to achieve the POC project. Thanks to them for giving 100 pages free Api key and also fast Review collected by and hosted on G2.com.

I dont have any dislike just a bit more pages of free api would be helpfull for small developers out here Review collected by and hosted on G2.com.

What I like most is the OCR module, which is superb. I’ve worked with AWS Textract and other cloud OCR services, but among them all, I find that LLMWhiseperer offers better pricing and the best layout preservation for both scanned and unscanned documents. Review collected by and hosted on G2.com.

I’ve noticed occasional outages that last a few minutes, and sometimes the OCR response for scanned documents is a bit slow. Review collected by and hosted on G2.com.

The ease of use, even in the free option, where I can implement the API in the AI I am developing, and the allowed amount lets me continue testing and the ease of using the platform. Review collected by and hosted on G2.com.

I think the OCR can still be improved further, perhaps more advancements for more complex images, improving the high quality, as there are still issues with accents, for example. Review collected by and hosted on G2.com.

The ability to preserve the layout information. Review collected by and hosted on G2.com.

It’s still struggling with preserving horizontal and vertical lines. Review collected by and hosted on G2.com.

LLMWhisperer provides 5 optimized models that drastically improve the ability to comprehensively extract text from PDF files. Review collected by and hosted on G2.com.

I haven't found a downside yet. It works remarkably well, easily beating the results obtained form other other PDF text extraction or OCR solutions. Review collected by and hosted on G2.com.

LLM Whisperer helped me solve a complex issue involving the extraction of print tables where there are only minor differences between lines. This addressed a significant challenge for us, and we have now integrated it into our extraction pipeline. The solution is straightforward to use, and we are currently utilizing it in a public project: https://github.com/claytonsilva/condomob-documents-ocr2data/blob/main/src/processors/llmwhisperer_analytical.py Review collected by and hosted on G2.com.

LLM whisperer still needs to address some errors when reading tables, but I believe this is just a matter of further refinement. Review collected by and hosted on G2.com.

I really like the OCR tool, it works great on the pictured invoices Review collected by and hosted on G2.com.

From this experience I got now i really like the solutions, nothing to dislike. Review collected by and hosted on G2.com.