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flatmark — Python SDK

Document to Markdown API and MCP server for PDF, Word, PowerPoint, Excel and HTML. OCR queue for large files. Hosted in Germany.

pip install flatmark

Get an API key and pass it to the client:

import os

from flatmark import AuthenticatedClient
from flatmark.api.account import get_me

client = AuthenticatedClient(
    base_url="https://api.flatmark.dev",
    token=os.environ["FLATMARK_API_KEY"],
    auth_header_name="X-API-Key",
    prefix="",
)
print(get_me.sync(client=client))

Every operation is a module with sync, sync_detailed, asyncio and asyncio_detailed; file fields take a flatmark.types.File(payload=..., file_name=..., mime_type=...).

submit_conversion_job queues a job: poll get_job until its status is succeeded or failed, then fetch get_conversion_result.

Operations

Operation Module What it does
GET /v1/me flatmark.api.account.get_me Your plan, remaining requests, and remaining credits
GET /v1/jobs/{job_id} flatmark.api.jobs.get_job Get one queued job by ID
GET /v1/jobs flatmark.api.jobs.list_jobs List your queued jobs, newest first
POST /v1/convert flatmark.api.convert.convert_document Convert a document to Markdown in one call
POST /v1/convert/jobs flatmark.api.convert.submit_conversion_job Queue a document for conversion with OCR and tables
GET /v1/convert/jobs/{job_id}/result flatmark.api.convert.get_conversion_result Download a queued job's Markdown or JSON

Generated with openapi-python-client from openapi.sdk.json. API reference: https://flatmark.dev/docs · Support: https://flatmark.dev/support

Metadata

Release files for flatmark 1.0.0

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Table of built distributions (wheels) for flatmark 1.0.0
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flatmark-1.0.0-py3-none-any.whl Python 3 none any Details

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1.0.1

2 release files

This release

1.0.0 This release

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