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document-ai-samples reviews and mentions
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When Will the GenAI Bubble Burst?
Thanks for the example and that sounds really solid cost savings and definitely agree with the trend that it is here to stay.
For invoice parsing (various formats), are you just using GPT4V? When GPT4V initially came out, i benchmarked it against an out of the box invoice parser from Google Cloud (https://cloud.google.com/document-ai) on 16 documents and it was much better accuracy wise. For ex: i'd get results parsing 10,100 as 101100 (no comma).
Curious if you saw problems like this in your pipeline or if its gotten much better since?
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Based on latest advancements in document transformers, what strategy would you use to parse utility bills?
Google Document AI: Google's generic document processor, found on the Google Cloud Platform, worked ok out of the box. However, it will require significant fine-tuning via manual data labeling for at least 15 to 20 documents before I have a decently accurate processor.
- How to upload hundreds of PDF's and analyze all of them with AI?
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From pixels to information with Document AI
What's next? Well, it's already here, with Document AI, and keeps growing:
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Automate identity document processing with Document AI
The source code for this demo is available in our Document AI sample repository.
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A note from our sponsor - WorkOS
workos.com | 30 Apr 2024
Stats
GoogleCloudPlatform/document-ai-samples is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of document-ai-samples is Jupyter Notebook.
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