Hi @AMROUN Lysa ,
You're welcome! I'm glad I could help.
If others experiencing the same thing can easily reference this! Since the Microsoft Q&A community has a policy that "The question author cannot accept their own answer. They can only accept answers by others ", I'll repost the solution in case you'd like to accept the answer.
Question: How to reduce document intelligence latency ?
Answer: To reduce the latency of document recognition using Azure Document Intelligence, you can try the following:
- Use a smaller model: Smaller models have fewer parameters, which means they can be loaded faster and run faster.
- Use a pre-built model: Try using a pre-built model. Pre-built models are optimized for performance and can be faster than custom models.
- Use a GPU: Try using GPUs, which can accelerate the processing of models and reduce the latency of document recognition.
- Use batch processing: If you are processing multiple documents, try using batch processing. Batch processing can reduce the overall processing time by processing multiple documents at once.
Thank you for your understanding!
If this answers your query, do click Accept Answer
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