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Tensorlake Account

You need to have a Tensorlake Cloud account to make API requests if you’re using the Python SDK or directly calling the REST API. You can create an account on cloud.tensorlake.ai.

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API keys

API keys are project-specific credentials that allow programmatic access to resources within a project. Each API key exists solely within the context of its project and has the same permissions as a project member.

API keys cannot have organization-level permissions.

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Creating API keys

  1. Go to the Tensorlake Dashboard
  2. Select the project to make API calls against.
  3. Create an API key.

Every tensorlake API key starts with tl_apiKey_*.

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Tensorlake Python SDK

The Tensorlake SDK leverages API keys fo authentication.

For example:

your_app.py
from tensorlake.documentai import DocumentAI, ParsingOptions

API_KEY="tl__apiKey_xxxx"
doc_ai = DocumentAI(api_key=API_KEY)
file_id = doc_ai.upload(path="/path/to/file.pdf")
job_id = doc_ai.parse(file_id, options=ParsingOptions())

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REST API

REST API requests needs to include the API key in the header as a Bearer Token.

For example, to make a request to the Document File Management API, you would use the following curl command:

curl --request POST \
  --url https://api.tensorlake.ai/documents/v1/files \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: multipart/form-data' \
  --form 'labels={}'

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Frequently Asked Questions