Authentication

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Tensorlake Account

You need to have a Tensorlake Cloud account to make API requests. You can create an account on cloud.tensorlake.ai.

The Access Control page has more information on API keys and their access.

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Creating API Keys

API Keys are project-specific credentials that allow programmatic access to resources within a project.

1. Select the project to make API calls against.
2. Create an API key, we recommend giving it a name.

Every tensorlake API key starts with tl_apiKey_*.

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Using the Tensorlake SDK

The Tensorlake SDK leverages API Keys fo authentication.

export TENSORLAKE_API_KEY=<YOU_API_KEY>
python your_app.py

For example, your_app.py:

from tensorlake.documentai import DocumentAI, ParsingOptions

doc_ai = DocumentAI()
file_id = doc_ai.upload(path="/path/to/file.pdf")
job_id = doc_ai.parse(file_id, options=ParsingOptions())
data = doc_ai.get_job(job_id=job_id)

Refer to [/documentai/](Document AI) for more examples.

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Making API Requests

Every API request needs to include the API Key in the header as a Bearer Token.

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

curl -X POST https://api.tensorlake.ai/documents/v1/parse \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
    "file": "tensorlake-ID",
    "outputMode": "markdown"
}'