agentbody/document-parse
Parse a document at an HTTPS URL into Markdown and structured content.. Supports PDFs, Word documents, and other common formats.
Example output — click Run to generate your own
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OpenAI-compatible endpoint with unified authentication and usage tracking.
https://api.sandbase.ai/v1/runagentbody/document-parseInput Schema
5 parameters · 2 required · 3 optional
| Parameter | Type | Required | Description |
|---|---|---|---|
file_url | string | Required | The HTTPS URL of the document to parse. |
file_name | string | Required | Original filename with extension (used for format detection). |
merge_tables | boolean | Optional | Whether to merge split tables across pages. |
analysis_chart | boolean | Optional | Whether to analyze charts in the document. |
relevel_titles | boolean | Optional | Whether to re-level heading hierarchy. |
Output Schema
| Field | Type | Description |
|---|---|---|
id | string | Unique identifier for the generation task |
status | string | Task status: pending, running, completed, failed, timeout |
model | string | Model used for the generation |
outputs | array | Array of output items |
outputs[].url | string | URL of the generated artifact |
outputs[].content_type | string | MIME type (e.g. image/png, video/mp4) |
error | object | null | Error details if failed, null on success |
error.type | string | Machine-readable error type code |
error.message | string | Human-readable error description |
Code Examples
Ready-to-run snippets
curl -X POST https://api.sandbase.ai/v1/run \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "agentbody/document-parse",
"prompt": "a beautiful sunset over mountains"
}'API README
Document Parse
Parse a document at an HTTPS URL into Markdown and structured content. Supports PDFs, Word documents, and other common formats. It is suitable for document-parsing, markdown, pdf workflows.
Capability
Parse a document at an HTTPS URL into Markdown and structured content. Supports PDFs, Word documents, and other common formats. It helps applications, agents, and automated workflows turn that capability into repeatable tasks and useful downstream experiences.
Common use cases
- Collect and normalize information from public pages or source content for downstream workflows.
- Create repeatable integrations that pass structured results to downstream business systems.
- Support scheduled jobs, internal tools, and agent workflows with structured results.