DocuPipe

What do you like best about the product?

Rapid responsiveness to requests and strong customization capabilities.

What do you dislike about the product?

There is a lack of diverse subscription plans capable of supporting various business structures on a global scale.

What problems is the product solving and how is that benefiting you?

They resolved most of the technical issues, and I am very satisfied with their support and performance.

What do you like best about the product?

Schema for different type of documents. As a B2B company we deal with 1000+ companies and each have different document templates. Docupipe makes it easy to manage that and we can create the schema explaining from which part of document we need to extract what

What do you dislike about the product?

Nothing actually. Best OCR tool that we have come across

What problems is the product solving and how is that benefiting you?

Dealing with many different types of document. Helped in streamlining our automated operations process and now currently supporting in our AI initiative

What do you like best about the product?

The task I chose DocuPipe for was that of converting pdf’s containing scanned images into Microsoft Access tables. The pdf files contain the results of a graveyard survey – a list of graves with descriptions of the status of the headstone together with the inscriptions. Previously, I was using Adobe OCR to convert pdf’s to Microsoft Word and then using VBA to open a Word file and extract the inscriptions paragraph by paragraph. After editing the inscriptions to remove all the OCR glitches, I then went through manually compiling an Excel file index. The new system requires just one pass of the pdf to create a JSON format file. I then use VBA to process the JSON file assembling two Access tables of inscriptions and index. Much more straight-forward and more practical to hand over to someone else eventually.

What do you dislike about the product?

The dashboard is not intuitive. I sometimes find myself scratching my head as to the way forward.

What problems is the product solving and how is that benefiting you?

Converting PDFs of scanned images. DocuPipe provides a faster and more reliable solution.

What do you like best about the product?

Most document-processing systems can handle clean, computer-generated tickets, but our real challenge is handwritten material. Some of our haul-off tickets are extremely messy and hard to decipher, even for people who work with them regularly. DocuPipe consistently converts these documents into accurate, structured data. It can also interpret the many different ways hauler names are handwritten and still match them correctly to the appropriate hauler. That capability is what truly sets DocuPipe apart from the other systems we’ve evaluated.

What do you dislike about the product?

The initial setup required substantial testing and refinement because our documents and business rules are unusually complex. Some exceptions still require human review, and credit usage must be monitored as our volume grows. However, once the process was properly configured, we have not experienced any significant issues with DocuPipe itself.

What problems is the product solving and how is that benefiting you?

We process thousands of ticket pages each month from numerous suppliers, haulers and ticket formats. Before DocuPipe, these tickets had to be manually reviewed and entered into our material tracking system, which was time-consuming and created opportunities for data-entry errors.

DocuPipe converts the tickets into structured data automatically, including exceptionally difficult handwritten haul-off tickets and many variations of handwritten hauler names. It also identifies questionable documents and processing mistakes so they can be corrected instead of silently entering bad data.

This has made the process faster, more consistent and easier to control. Our employees can focus on reviewing exceptions instead of manually entering every ticket, and the information is available sooner for our daily material reconciliation. While it has not reduced our payroll, it has created additional capacity and could produce significant payroll savings for businesses using employees primarily for manual document entry.

What do you like best about the product?

I find DocuPipe to be very stable and robust, offering high quality results across a large and varied corpus of documents. It's a fundamental part of our system, handling the "heavy lifting" data extraction part with the help of AI agents specifically for the MRO industry in aviation. The cost-effectiveness is another highlight for me. The team behind DocuPipe is incredibly responsive, providing valuable and fast answers to my questions, and they fix issues quickly. Setting it up was super simple, just taking a couple of hours, thanks to the great documentation.

What do you dislike about the product?

As far as I know, there’s no pay-as-you-go plan. The paid plans come with a monthly base fee, which small startups might not fully use at the beginning.

What problems is the product solving and how is that benefiting you?

DocuPipe extracts/parses data from documents - we used the textual output from the documents to feed into an AI agents pipeline. Docupipe is providing stability and high performance across large datasets, which means I don't worry about this part of the system.

What do you like best about the product?

The API has been straightforward to integrate, and the schema-based workflow works well for documents with inconsistent layouts and handwritten fields.

What do you dislike about the product?

The main drawback is that API usage can continue into overage by default, and the hard-cap setting is easy to miss. For automated workflows, more prominent spend controls and real-time anomaly alerts would help catch runaway jobs before they generate a large bill.

What problems is the product solving and how is that benefiting you?

We use DocuPipe to turn scanned quality-control forms into structured data for our internal operations software. Before DocuPipe, these records had to be reviewed and entered manually. Now we can process inconsistent layouts and handwritten fields, then make the results searchable in a dashboard. This reduces manual data entry, speeds up access to production records, and makes historical QC data much easier to review.

What do you like best about the product?

The AI engine is extremely powerful. As soon as a document is uploaded, it immediately detects the fields of interest and allows them to be easily extracted.
The schema is clearly partitioned between attributes and instructions in NLP, and it is extremely easy to modify the schema as needed.
From all the schema changes I made, I never needed to go back to them; it immediately understood what the problem was that I had exposed to it.
The support is very responsive and the answers given are very detailed.

What do you dislike about the product?

Some areas for improvement:
- The ability to categorize uploaded documents in directories. There are certainly datasets, but directories would be a plus. The layout by table of standardisations and documents is not easy to manage when there are many lines.
- The ability to recover a schema or other deleted object.
- A history of the actions performed
- Be able to classify the standardisations carried out by date
- Maybe it was a lack of knowledge on my part, but I didn’t find the first instructions in NLP that allowed me to build the "Hevrat Hashmal Curtailment Report" scheme.

What problems is the product solving and how is that benefiting you?

We use the document management software M-Files and eventually want to use DocuPipe to analyze, in advance, any document that we wish to enter into M-Files.
The idea would be to at least detect the documentary class before insertion and offer users suggestions regarding the metadata to enter.
We have not yet used the REST APIs, but the proposed APIs look powerful and well documented.
Another activity is the analysis of received invoices containing a lot of data, which DocuPipe does perfectly.

What do you like best about the product?

Very intuitive and pricing in really clear and upfront.

What do you dislike about the product?

After uploading and standardize my files the order of the now standardize files were not in the order of the file names used in the upload. This meant I had to be careful with the import to my spreadsheet. Was able to see the original file name once opened which was helpful.

What problems is the product solving and how is that benefiting you?

Docupipe did a great job of producing accurate spreadsheets with out a failure on 60 plus spreadsheets.

What do you like best about the product?

High extraction accuracy for faxes and all types of documents, even when the handwriting is poor. It’s easy to use, with great API capabilities that make it simple to integrate into all of our existing apps. Amazing customer service and support.

What do you dislike about the product?

At the beginning, it was a little bit tricky to learn how to set it up correctly, but support solved this issue very promptly.

What problems is the product solving and how is that benefiting you?

Creating workflow automation helps reduce mistakes and improve data quality in our databases. In turn, this strengthens our processes and improves customer care.

What do you like best about the product?

I really appreciate how DocuPipe replaced manual CV screening. It automatically scores candidates against our job requirements, so our HR team only reviews the ones that actually match. The API is well structured, and the schema system is flexible enough to handle complex Hebrew extractions. The support team is exceptional—fast, technical, and they actually solve your problem instead of just sending documentation. The initial setup was fairly easy, thanks to very good documentation.

What do you dislike about the product?

nothing

What problems is the product solving and how is that benefiting you?

I use DocuPipe to automate CV screening, saving time and ensuring consistency by providing a detailed fit score. It reduces subjectivity and lets my HR team focus on matching candidates.