Azure AI Document Intelligence vs. Mendeley

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.

Incentivized

Mendeley Desktop used to be a decent software, and comparatively one of the best among Reference Managers. The new online version is beyond expectations

• 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

Incentivized

• Easy to use interface
• The use of font size and style makes information easily discoverable within the article previews
• Drag-and-drop functions make article indexing particularly simple

Incentivized

• 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

Incentivized

• In my opinion, terrible web-based function in the new version
• Very difficult to annotate and search in PDF's
• New version removed many previous functions

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.

Incentivized

There are a lot of references that do a good job troubleshooting, although I am not sure there is a direct number to an actual person.

Incentivized

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.

Incentivized

Microsoft EndNote. Mendeley has better user interface and is able to store, sort and organize a large number of articles effectively. Also can import and extract information from citations from articles online without the entire full text pdf availability. Can be used and accessed from portable devices such as iPads and mobile phones as well.

Incentivized

• Significant reduction in manual processing cost by 40-60%
• Improved data accuracy and reduce work
• Scalability is good without cost increase

Incentivized

• It is great that for instance, you download the paper you need once, and share it with your entire team.
• You can present your annotation with the team!

Incentivized