API docs | logoraisr.com

Name: API docs | logoraisr.com API
Brand: API docs | logoraisr.com
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★ Only Publicly Available OpenAPI DocumentMediaImage ProcessingapiKey10 EndpointsREST

For Agents

Upload logo images, run processing operations such as vectorisation or cleanup, and download the resulting files via the logoraisr API.

Quickstart

Get started with API docs | logoraisr.com in minutes using your preferred integration method.

# Add to your MCP client config (Claude Desktop, Cursor, Windsurf)
{
  "jentic": {
    "url": "https://api.jentic.com/mcp",
    "auth": "oauth"
  }
}

# Then ask your agent:
"vectorise a logo"

# → Jentic returns the GET /events tool with parameter schema, agent executes.

Capabilities

What an agent can do with API docs | logoraisr.com API.

Upload an image for processing via POST /uploads

List the available processing processes through GET /processes

Create a project that runs one of those processes on an uploaded image

Poll project status and retrieve outputs with GET /projects/{project_number}

GET STARTED

Start building with API docs | logoraisr.com API

Explore with Jentic

View OpenAPI Document

Use for: Upload a logo image for processing, List the available image-processing processes, Create a project to vectorise this logo, Retrieve the result file for a finished project

Not supported: Does not handle logo hosting, CDN delivery, or template-based marketing image generation — use for running processes on uploaded logos and retrieving the result files only.

Jentic publishes the only available OpenAPI document for API docs | logoraisr.com, keeping it validated and agent-ready.

Jentic publishes the only available OpenAPI specification for API docs | logoraisr.com, keeping it validated and agent-ready. Logoraisr is an image-processing service that takes uploaded logos and brand assets and runs them through configurable processes such as cleanup, vectorisation, and analysis. The API exposes ten operations covering image upload, process catalogue listing, project and report creation, and retrieval of preview and result files.

Use Cases

Patterns agents use API docs | logoraisr.com API for, with concrete tasks.

★ Logo Vectorisation

Convert raster logos to clean vectors by uploading the source via POST /uploads, creating a project on POST /projects with the vectorise process, and downloading the SVG result. The async project model lets large files process without keeping the HTTP connection open.

POST /uploads with the source PNG, then POST /projects referencing the upload id and the vectorise process.

Brand Asset Cleanup Batch

Run noise removal and background cleanup across a batch of uploaded brand assets by creating one project per asset. Each project runs independently so a failure on one asset does not block the rest of the batch from completing.

For each asset, POST /uploads, then POST /projects with process='cleanup', then GET /projects/{project_number} until complete.

Logo Quality Reporting

Audit logo quality by calling POST /reports with the upload id. Reports surface issues such as low resolution or wrong colour space and are retrieved via GET /reports/{report_number} for design-team review.

POST /reports with the upload id, then GET /reports/{report_number} to read the analysis.

AI Agent Logo Pipeline via Jentic

An agent that handles design-team requests can chain the upload, project, and result endpoints to clean and return logos automatically. Jentic exposes them as MCP tools so the agent invokes the right operation by intent.

Through Jentic, search 'vectorise a logo', load logoraisr POST /uploads, then chain POST /projects and GET /projects/{project_number}.

Key Endpoints

10 endpoints — jentic publishes the only available openapi specification for api docs | logoraisr.

METHOD

PATH

DESCRIPTION

POST

/uploads

Upload a new image

GET

/processes

List available processes

POST

/projects

Create a new project

GET

/projects/{project_number}

Get project details

POST

/reports

Create an analysis report

GET

/reports/{report_number}

Get report details

GET

/results/{result_file_id}

Download a processed file

GET

/previews/{file_id}

Get a preview of an uploaded file

POST

/uploads

Upload a new image

GET

/processes

List available processes

POST

/projects

Create a new project

GET

/projects/{project_number}

Get project details

POST

/reports

Create an analysis report

GET

Why though Jentic?

Three things that make agents converge on Jentic-routed access.

Credential isolation

The logoraisr token is stored encrypted in the Jentic vault and injected at execution. Agents never see the raw token in their prompt or logs.

Intent-based discovery

Agents search by intent (e.g. 'vectorise a logo') and Jentic returns the matching logoraisr operation with the correct multipart upload schema and follow-up project endpoints.

Time to first call

Direct logoraisr integration: half a day to wire up multipart upload, project creation, and result polling. Through Jentic: under 30 minutes.

Related APIs

Alternatives and complements available in the Jentic catalogue.

Alternative

remove.bg API

Single-purpose background removal for images and logos

Pick remove.bg when the only operation needed is one-shot background removal without a project pipeline.

Complementary

Cloudinary Upload API

Image hosting, transformation, and CDN delivery

Pair with logoraisr when you need to host the cleaned logo and serve transformations through a CDN.

Complementary

Bannerbear API

Template-based image and video generation

Use Bannerbear after logoraisr to composite the cleaned logo onto marketing templates.

Complementary

Placid API

Programmatic image generation from design templates

Use Placid alongside logoraisr when generating branded social posts that include the processed logo.

FAQs

Specific to using API docs | logoraisr.com API through Jentic.

Why is there no official OpenAPI spec for API docs | logoraisr.com?

Logoraisr does not publish a maintained OpenAPI specification. Jentic generates and maintains this spec so that AI agents and developers can call API docs | logoraisr.com via structured tooling. It is validated against the live API and kept up to date. Get started at https://app.jentic.com/sign-up.

What authentication does the logoraisr API use?

Logoraisr uses a token-based API key (the `Token` security scheme) passed in the Authorization header. Through Jentic the token is held in the encrypted vault and never enters the agent's prompt.

How do I run a vectorisation pipeline?

Upload the image via POST /uploads, then POST /projects with the upload id and the vectorise process. Poll GET /projects/{project_number} until the result file id appears, then download via /results/{result_file_id}.

Can I list the available image-processing processes?

Yes. GET /processes returns the catalogue of available operations along with the identifiers you pass to POST /projects.

How do I process a logo through Jentic?

Run `pip install jentic`, search Jentic for 'process a logo image', load the logoraisr POST /uploads operation, then chain POST /projects with the upload id and process selection.

What are the rate limits for the logoraisr API?

Numeric rate limits are not declared in the spec. Treat upload and project endpoints as throttled and back off on HTTP 429 responses.