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Azure AI Document Intelligence vs. Rossum

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Azure AI Document Intelligence
Score 8.7 out of 10
N/A
Azure AI Document Intelligence (formerly Form Recognizer) learns the structure of forms to intelligently extract text and data. It ingests text from forms, applies machine learning technology to identify keys and tables, and then outputs structured data that includes the relationships within the original file. That way, the user can extract information tailored to specific content, without heavy manual intervention or extensive data science expertise.N/A
Rossum
Score 10.0 out of 10
N/A
Rossum, from the company of the same name in London, allows businesses to automate data extraction from documents with Artificial Intelligence. The Rossum Data Capture tool allows the user to automatically capture invoice data.N/A
Pricing
Azure AI Document IntelligenceRossum
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Azure AI Document IntelligenceRossum
Free Trial
NoYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeNo setup feeOptional
Additional Details——
More Pricing Information
Best Alternatives
Azure AI Document IntelligenceRossum
Small Businesses
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Score 9.7 out of 10
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Score 9.7 out of 10
Medium-sized Companies
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Score 9.7 out of 10
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Square 9 Softworks
Score 9.7 out of 10
Enterprises
IBM Cloud Pak for Business Automation
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Score 9.9 out of 10
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User Testimonials
Azure AI Document IntelligenceRossum
Likelihood to Recommend
Microsoft
Azure AI Document Intelligence is mainly used in document data filling. If the template is the same, only the inside data content will be different. There, we use a text-based OCR process to fill the data in the same template with different, accurate data means the manual work will be reduced and time saved. And used in an image and text combined bot if the user query through text from the knowledge based document it brings the output which is used in information technology and services.
KR
Kharan Raju
Data Scientist
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Rossum
No answers on this topic
Pros
Microsoft
  • From the Image the OCR technology use to store embedding properly
  • From the images the OCR technology automatically capturing text is brilliant
  • Also for creating Azure AI Document Intelligence endpoint and keys it is very easy to do
KR
Kharan Raju
Data Scientist
Read full review
Rossum
No answers on this topic
Cons
Microsoft
  • Azure AI Document Intelligence should have used to store image based embedding for multiple languages
  • Images storing part is a different area in our case and only for a few images that part can be increased
  • Cost is high which should be reduced so more users will come and more technology through this will come
KR
Kharan Raju
Data Scientist
Read full review
Rossum
No answers on this topic
Usability
Microsoft
Azure AI Document Intelligence mainly meets our business requirements. Actually, what we need is image and text-based multimodal, and we store data in pgvector PostgreSQL vector embedding those data. For that, we need text and image combined embedding, which we can get from Azure AI Document Intelligence. Which is working good for us and improved accuracy not 100% but 70% accuracy we are getting at least through Azure AI Document Intelligence.
KR
Kharan Raju
Data Scientist
Read full review
Rossum
No answers on this topic
Alternatives Considered
Microsoft
Azure AI Search, we used to bring image and text relevant to the user query, but it did not work properly, and the accuracy was very poor compared to Azure AI Document Intelligence. Azure Blob Storage we used to store images and bring in frontend there also accuracy low, so we went for embedding through Azure AI Document Intelligence. Azure AI Content Safety for text content, but it is very costly, so we went for Azure AI Document Intelligence.
KR
Kharan Raju
Data Scientist
Read full review
Rossum
No answers on this topic
Return on Investment
Microsoft
  • Significant reduction in manual processing cost by 40-60%
  • Improved data accuracy and reduce work
  • Scalability is good without cost increase
KR
Kharan Raju
Data Scientist
Read full review
Rossum
No answers on this topic
ScreenShots

Rossum Screenshots

Screenshot of Validation takes place after you have imported your invoices to the platform and Rossum's AI has extracted data from them. Once validation is complete, you can export captured data into business systems that require it.Screenshot of Extract line item and table data using the Magic Grid tool. This feature lets you add, delete, and move rows and columns to customize the table to your needs. You can also make a new table from scratch.Screenshot of Schema editor in JSON offers you a lot of possibilities for customization.Screenshot of Usage dashboard allows you to measure and visualize all your document processing data in one place.Screenshot of Export all the data in XLSV, CSV, XML, JSON or integrate with your ERP system through API or RPA.