Parsing Documents
Extract structured data from long documents and reports.
Getting Started
vlm-1
can extract structured data from long documents and reports. Here’s a rough breakdown of the steps involved in parsing a document:
Upload Document
Use the /v1/files
endpoint to upload the document you want to parse.
You should see a response like this:
Submit the Document AI Job
Submit the uploaded file (via its file_id
) to the /v1/document/generate
endpoint to start the document parsing job. Currently, this endpoint only supports PDF files and submits the job to a queue for processing (batch=True
).
You should see a response like this:
Fetch the Results
Use the /v1/document/{request_id}
endpoint to fetch the results of the document parsing job. The results of the extraction job will be in JSON format under the response
field.
You should see a response like this:
Notebook Example
If you want to simply look at the code, skip to the colab notebook link directly here.
Illustrative Examples
Here are some examples of the structured JSON output that vlm-1
can extract from long documents and reports:
Document AI with `vlm-1` - Example 1.
Document AI with `vlm-1` - Example 2.
Document AI with `vlm-1` - Example 3.
Document AI with `vlm-1` - Example 4.
Get Started with our Document -> JSON API
Head over to our Document -> JSON to start building your own document processing pipeline with VLM Run. Sign-up for access on our platform.