document-ai-samples
python-docs-samples
| document-ai-samples | python-docs-samples | |
|---|---|---|
| 5 | 17 | |
| 188 | 7,006 | |
| 4.3% | 1.1% | |
| 8.9 | 9.8 | |
| 5 days ago | 7 days ago | |
| Jupyter Notebook | Jupyter Notebook | |
| Apache License 2.0 | Apache License 2.0 |
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document-ai-samples
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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.
python-docs-samples
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Gemini API 102: Next steps beyond "Hello World!"
QuickStart code
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Moving my app to Google cloud
Thanks, this is helpful. Do you have any github repo that I can follow? I have found this and this. There are a million folders within both of them. Even after narrowing it down after your kind suggestion there is still so much material out there and it's a bit bewildering for a newbie.
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I'm starting to work on a project on HTR on natural museum artefacts. I need guidance on how to go about it, and I'd also need to know If my ideas are feasible.
Python code samples : https://github.com/GoogleCloudPlatform/python-docs-samples/blob/HEAD/vision/snippets/detect/detect.py
- Cloud Functions + Pub/Sub + Dataproc
- Does not have the required permissions to perform the operation and may have invalid credentials
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free app projects I can deploy on GCP
Python
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GCP Project Ideas
Google has a lot of sample projects that you can play around with/start with. For example, this is a link to sample Apps based on Python from Google. They also have similar links for other languages - PHP, NodeJS.
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Is there a repository of GCP script examples?
For example, here is their repo with Python examples https://github.com/GoogleCloudPlatform/python-docs-samples
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Which Should I Choose: App Engine or Firebase?
- I would say that building a basic web app in Python is not complicated. Worst case, you can start off with the template of an already working App and then make changes as you deem fit. Google has sample apps. If those are too complicated, our App has templates for `````'Hello World' that can get you up and running. We also have a blog series on building a blogging app on GAE
- QUESTION: HTTP Triggered Google Cloud Functions?
What are some alternatives?
docutron - Docutron Toolkit: detection and segmentation analysis for legal data extraction over documents.
nodejs-docs-samples - Node.js samples for Google Cloud Platform products.
pdfGPT - PDF GPT allows you to chat with the contents of your PDF file by using GPT capabilities. The most effective open source solution to turn your pdf files in a chatbot!
python-firestore
Calliar - A dataset for online Arabic calligraphy. A collection of 2500 annotated calligraphic styles.
professional-services - Common solutions and tools developed by Google Cloud's Professional Services team. This repository and its contents are not an officially supported Google product.
java-docs-samples - Java and Kotlin Code samples used on cloud.google.com
documentation - A general GCP documentation, FAQ, and how-to repository, maintained by the /r/googlecloud community on Reddit.
functions-framework-python - FaaS (Function as a service) framework for writing portable Python functions