DocuPipe
DocuPipeReviews from AWS customer
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Great, differentiated product and team
What do you like best about the product?
The accuracy of Intelligent Document Processing, and a fantastic team behind it. I was able to get started in no time and I could tell that they know a lot about document classification and contextual extraction. The time to get started was fast. I tried 3 different very popular platforms before I ended up on Docupipe. I love the customer support and the interaction with the founders. Although we are just starting our journey with them, I am confident that we will go far together.
What do you dislike about the product?
I have not found anything that I specifically dislike. One thing I will love as future enhancement is being able to spilt doc before uploading. This may not be a typical use case for them, but I think it will really help us utilize the platform more cost-effectively. So far, it has been the most accurate and easy-to-use and implement platform for our use case.
What problems is the product solving and how is that benefiting you?
Docupipe helps create structured data from unstructured documents and formats.
Accurate and reliable with ease of use and stellar support
What do you like best about the product?
We were on a search for a tool to parse sensitive data with a low margin for error. DocuPipe has proven to be perfect for this. Their combination of OCR and AI was exactly the implementation we needed for our product and allowed us to get up and running well within our target timeframe. I can't even begin to imagine the man hours it would have taken us to implement a solution like this from scratch. In addition to this, the few times we've have had an issue or needed some information on how to get what we need the team has always been more than happy to jump in and provide support. For a nascent product like ours, having support like this for our small team has been fantastic and unexpected. 10/10 would recommend.
What do you dislike about the product?
User interface can be improved on but has steadily been getting better since we started using DocuPipe.
What problems is the product solving and how is that benefiting you?
Data standardization across documents of different layouts, formats, information fields, etc. Pretty much getting consistent data from documents that could potentially be in any format.
Highly recommend Dokiopipe — exceptional service.
What do you like best about the product?
Dokiopipe has been an outstanding partner for us. Their team is extremely professional and responsive, delivering excellent service every time. The Dokiopipe system runs fast and reliably, and it consistently provides a perfect fit for our operational needs. I highly recommend them to any organization looking for a dependable, high-performance solution.
What do you dislike about the product?
There’s not much I dislike — the system is excellent, though the schema validation/testing process could be improved when working with large numbers of documents.
What problems is the product solving and how is that benefiting you?
Dokiopipe helps us parse customer orders.
Does what the big cloud providers don't - full document intelligence
What do you like best about the product?
DocuPipe has been essential for our AI property management platform. We process thousands of lease agreements, rental applications, and maintenance documents monthly. Beyond just extraction, their document classification automatically triages different document types so we don't waste time manually sorting uploads. The PDF splitting feature is really valuable - it breaks down massive multi-tenant lease packets into individual documents we can process separately. Their OCR accuracy is significantly better than the big cloud providers like Google and AWS, especially on scanned property docs with poor image quality. The data extraction is straightforward to configure and consistently pulls key fields like rent amounts, lease terms, and tenant details with almost perfect accuracy. API integration was simple. Support team actually knows their product and responds quickly when we need custom extraction rules. The cofounders were personally involved during our integration and really helpful - you don't get that kind of hands-on attention from larger vendors.
What do you dislike about the product?
Initial setup took longer than expected - about a week to get all our document types properly configured with schemas. Their lowest pricing tier was more than we needed when starting out, but the pricing is fair and gets better with volume. Would be nice to have confidence scores for extracted fields by default (they offer this, but as a downstream service, not built-in to extraction).
What problems is the product solving and how is that benefiting you?
We ingest thousands of property documents daily - lease applications, income verification, maintenance requests, legal notices. We tried using ChatGPT and other LLMs to extract data from documents and answer questions based on them, but they always had issues - making silly mistakes, can't see checkmarks, mess up tricky tables, etc. DocuPipe just works with minimal fuss, and it just wasn't worth our time to reinvent the wheel and solve this ourselves with all the edge cases and what not. Better value to just pay DocuPipe and we focus on the things we do best.
They fit my idea like a glove! And exceptional CS!
What do you like best about the product?
A very warm recommendation! These guys have the best horizontal SaaS, allowing builders like me to build their OCR-based vertical SaaS easier and quicker than ever! Moreover, their responsiveness and tech support & maintenance are prompt which really helps me stay on top of all issues facing my own customers. Their customer success is the best I experienced.The reading of their OCR is really impressive, in non-English languages (e.g. Hebrew) too!
What do you dislike about the product?
It would've been a bit better if they could provide API logs for easier and quicker debugging
What problems is the product solving and how is that benefiting you?
It provides AI-based OCR and document handling which is the heart of my own vertical SaaS
I wish all companies were like this
What do you like best about the product?
The product is amazing and totally unmatched in quality and precision. The service is outstanding with streamlined access to a team who genuinely care and go above and beyond to solve your issues at a truly rapid pace. The integration is simple, well documented and clearly designed by experienced engineers with real world experience of good and bad APIs. I hope this level of service is maintainable as DocuPipe inevitably grows very quickly.
What do you dislike about the product?
There is noting to dislike - I do burn through credits quite fast but I cannot say it is bad value for money. I would love to see a user interface for managing workflows, but I imagine this is on the roadmap. Just keep up the good work guys!
What problems is the product solving and how is that benefiting you?
Parsing and standardising complex documents allows us to automate a traditionally slow, labour intensive and error prone process.
Fantastic onboarding, great support, incredibly accurate document processing
What do you like best about the product?
The most striking feature to me was the instant onboarding into the product so that it made sense and I could try it out immediately. It uses AI to help with this process - creating starting schema that are likely to work well with your documents.
Even if you have a reason that you can't go with DocuPipe in the end, start experimenting with DocuPipe because it will help orientate you in your project and help you understand what the capabilities of AI might be for your documents.
There is a flexible API with a lot of useful different (and inter-related) features. It is very easy to implement.
I enjoyed valuable support interactions with the team.
Most importantly for the long term, the document/text recognition and classification was extraordinary, and much better than anything else I could get to work.
Even if you have a reason that you can't go with DocuPipe in the end, start experimenting with DocuPipe because it will help orientate you in your project and help you understand what the capabilities of AI might be for your documents.
There is a flexible API with a lot of useful different (and inter-related) features. It is very easy to implement.
I enjoyed valuable support interactions with the team.
Most importantly for the long term, the document/text recognition and classification was extraordinary, and much better than anything else I could get to work.
What do you dislike about the product?
I think it's a fantastic product, but if pushed... I found some of the API slightly inconsistent to start with, but it has now been improved following feedback.
What problems is the product solving and how is that benefiting you?
Our business workflow used to involve a lot of alt-tabbing from emails/PDFs into other software, copy-and-pasting values. This has now been completely automated, saving time and reducing errors. It allows our staff to focus on more meaningful and value-added parts of their roles.
Reliably structured output that cites its sources (!)
What do you like best about the product?
For our purposes, knowing that we were going to get an output that strictly adhered to what we were asking of the model was crucial. We experimented a fair bit with other services, and found that none of them were reliably taking our giant pile of unstructured documents and pulling out the data we needed *in the format we required*, without hallucinating wildly.
This is also one of those delightful startups whose founders are still actively engaged with their customer base. You get an email from them upon signup that assures you it isn't from a bot and invites you to talk to them directly, and I was pleasantly surprised to discover that is actually the case and that they're very responsive and eager to make their service work the way you need it to. While this state of affairs can't last forever, it's great to have now.
This is also one of those delightful startups whose founders are still actively engaged with their customer base. You get an email from them upon signup that assures you it isn't from a bot and invites you to talk to them directly, and I was pleasantly surprised to discover that is actually the case and that they're very responsive and eager to make their service work the way you need it to. While this state of affairs can't last forever, it's great to have now.
What do you dislike about the product?
The web interface is still a work in progress, and while it's perfectly serviceable, there are nice-to-haves like being able to search / filter through a dataset by filename, upload date, etc. which would be appreciated. No surprise there for a new service, though, and I expect they're working on it.
What problems is the product solving and how is that benefiting you?
We were faced with the prospect of taking thousands of large, dense, unstructured legal documents with wildly inconsistent formatting and terms, and dissecting them for numerous data points which would give us a feel for the landscape of a legal practice area in a particular state. This could in theory be done manually, but it would take hundreds of person-hours with no economy of scale: every document takes approximately as long as the last, per page, to the upper limit of the person reading the document, stripping data out of it, and inputting it into a spreadsheet. In the end, you get your output, but the next time you have to do it - and we anticipate this being an ongoing process - you're making another huge investment of person-hours. If the end product was vital, requiring perfect accuracy in the dataset, that investment of person-hours would unfortunately be necessary: nothing LLM-powered is accurate enough yet that I'd be willing to stake the fate of anything seriously important on one's performance. But for a project like this which provides some real benefit to our decision-makers, but isn't so critical that we *absolutely must* ensure the accuracy of every data point, we were willing to consider automation. Our team was willing to accept around 95% accurate output, but even that low bar was unattainable by most of the services we trialed, and I was looking for at least 99% on integer fields. DocuPipe not only managed to meet and exceed those requirements, it "showed its work" by citing sources within the documents to back up its claims. Having the dataset processed through DP also opened up the possibility of interrogating the dataset itself in a RAG-like fashion, but we haven't dived into those features yet.
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