
It is very easy to use and handle. It give such a nice clarity Review collected by and hosted on G2.com.
Nothing as much. I am using since 3 months only Review collected by and hosted on G2.com.

It is very easy to use and handle. It give such a nice clarity Review collected by and hosted on G2.com.
Nothing as much. I am using since 3 months only Review collected by and hosted on G2.com.

v4.0 API (GA) – A unified, stable REST API with updated SDKs across Python, .NET, Java, etc., improving consistency and performance.
Improved Read & Layout Models – Better OCR accuracy, hierarchical document structure, and support for generating searchable PDFs.
Enhanced Prebuilt Models – Stronger extraction for invoices, receipts, bank statements, tax forms, pay stubs, and other business documents.
Advanced Classification & Model Compose – Automatically classify documents, split multi-document PDFs, and route them to the right extraction model.
Batch Processing & Containers – Batch APIs now support all models, plus containerized Read/Layout models for on-prem or hybrid deployments. Review collected by and hosted on G2.com.
Higher accuracy on complex layouts
Struggles still occur with heavily nested tables, multi-column PDFs, handwritten notes mixed with print, and low-quality scans.
Better multilingual & regional support
Accuracy for Indian regional languages, mixed-language documents, and non-Latin scripts can be improved, especially in tables.
Easier custom model training
Training custom models still requires careful labeling and data preparation; more low-code / auto-labeling capabilities would help. Review collected by and hosted on G2.com.

Azure AI Document Intelligence helps to train for image text embedding using OCR. Review collected by and hosted on G2.com.
The cost is high for more pages which we mainly use for pdf based image documents only Review collected by and hosted on G2.com.

Azure AI Document Intelligence enables automated data extraction with excellent customizability, making it adaptable to a wide range of use cases such as invoice processing and form recognition. Its seamless integration with other Azure services enhances workflow automation, positioning it as one of the most robust platforms in this space. Review collected by and hosted on G2.com.
Pricing can become a concern when processing large volumes of documents, as costs scale quickly. Additionally, prebuilt models may not perform well with uncommon or highly customized document types, requiring extra effort to train custom models for accurate extraction. Review collected by and hosted on G2.com.

Azure AI Document Intelligence is a good Azure AI service which helps you to read document content. It is very easy to use. You just need to upload the document and this AI model will read the document content and show all details. You can even use Azure AI document service to read document content, document style, invoice data. You can even create a custom model and train your model. You can extract data from this document and store it somewhere as per your need. We can even read document code. Review collected by and hosted on G2.com.
It is great to use for now. We should add some more predefined custom models for general documents like tax returns, visa services so that we can directly use it to read that information. Some features should be added for reading image internal text. Review collected by and hosted on G2.com.

Azure AI Document Intelligence is one of the best tools in the market for extracting data like key-value pairs, text, tables from any kind of documents like receipts, forms, invoices. They have their pre-built models for some common documents and also offer an option for creating custom models. They provide REST APIs which we can integrate with our application with a few lines of code. And the extraction is very accurate. We can also deploy it on the cloud and have an option for auto-scaling. Review collected by and hosted on G2.com.
The downsides of Azure AI Document Intelligence system is it supports only a few languages, it does not support local languages. The pricing is very high so small startups and freelancers can't afford it. Training the custom models with the customer's data takes a lot of time for preparing the data, training it, and then testing, and for such tasks, it requires an expert who has good hands-on machine learning and deep learning. Review collected by and hosted on G2.com.

Azure AI Document Intelligence automates data extraction from various documents, offering customizable and prebuilt models. It integrates with Azure services, supports multiple languages, and is scalable for enterprise use. Its flexible pricing, security, and ease of deployment make it ideal for streamlining document processing across industries. Review collected by and hosted on G2.com.
Azure AI Document Intelligence has a steep learning curve for custom models and struggles with highly variable document layouts. Costs can rise with high volumes, and custom language support is limited. Additionally, its performance can falter with low-quality scans or handwritten documents, affecting extraction accuracy. Review collected by and hosted on G2.com.

It is quick, easy to deploy and use service of Azure AI services. Review collected by and hosted on G2.com.
There is no downside of using it, as per my experience! Review collected by and hosted on G2.com.

It helps us to analyse our finance documents and retrieve various sections of documents for better data chunks. These chunks are most important to get data which is consumed by our open AI models. Review collected by and hosted on G2.com.
More complex documents like embedded CSV files are much difficult to parse Review collected by and hosted on G2.com.

I have used this for one of project related to data entry. We were looking for a solution to extract specific contents from multiple documents based on PDF, word, txt etc. It was very easy to use. Not interacted with customer support since we were able to find enough informations from search engine itself. Implementation was not difficult we had tools teams so they got this to implemented. Review collected by and hosted on G2.com.
When I was using I found that models were supporting only invoices, receipts. And also when we process large of data we were paying more money. cost wise it is little higher. Review collected by and hosted on G2.com.
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