Logoraisr API docs | logoraisr.com
Browse all Logoraisr APIs★ Only Publicly Available OpenAPI DocumentMediaImage ProcessingapiKey10 EndpointsREST
For Agents
Upload logos, run image-processing processes, and download the resulting cleaned, vectorised, or analysed files via the logoraisr API.
Use for: Upload a logo for processing, List the image-processing processes available, Vectorise the logo I just uploaded, Retrieve the result file for project 555
Not supported: Does not handle logo hosting, CDN delivery, or template-based design generation — use for running processing operations on uploaded logo images only.
Jentic publishes the only available OpenAPI specification for API docs | logoraisr.com, keeping it validated and agent-ready. Logoraisr is an image-processing service for logos and brand assets that runs uploaded images through configurable processes such as vectorisation, cleanup, and analysis. The API exposes ten operations covering uploads, the process catalogue, project management, analysis reports, and retrieval of preview and result files.
Install Jentic One Beta
Connect the API docs | logoraisr.com to your agent
Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the API docs | logoraisr.com, or any other public or private API you need. You set the rules, the agent never sees your credentials, and every call is logged.
Two steps, two machines. Install the instance in a safe environment, then register your agent from wherever it runs.
1
Step 1: Jentic One Host machine
# On the machine that will host your Jentic One instance:
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh2
Step 2: Agent machine
# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh
jentic register # connects your agent to your Jentic One instanceJentic One is in public beta. The setup above keeps your agent separate from the instance, which is what you want before using real credentials: an agent running as the same OS user as Jentic One can read its stored keys directly. Just evaluating? A single local install is fine to start. See the secure deployment guide for the tiers.
Capabilities
What an agent can do with API docs | logoraisr.com API.
Upload an image for processing through POST /uploads
List the catalogue of available processes via GET /processes
Create a project that runs a process on an upload via POST /projects
Retrieve project status and outputs via GET /projects/{project_number}
Generate analysis reports for an upload using POST /reports
Download processed result files by id from /results/{result_file_id}
Use Cases
Patterns agents use API docs | logoraisr.com API for, with concrete tasks.
★ Logo Vectorisation Workflow
Convert raster logos to clean vectors. Upload via POST /uploads, create a project against the vectorise process via POST /projects, and download the SVG via /results/{result_file_id} once the project is complete.
POST /uploads with the PNG, POST /projects with the upload id and vectorise process, then GET /projects/{project_number}.
Brand Asset Cleanup
Run cleanup processes on noisy or off-spec brand assets. Each project handles one asset so failures are isolated and retries are simple. The result file id surfaces in the project payload once processing finishes.
POST /uploads then POST /projects with process='cleanup' and the upload id.
Logo Quality Analysis Report
Audit a logo against quality standards via POST /reports. Reports identify resolution and colour-space issues; retrieve them with GET /reports/{report_number} to feed brand-team review.
POST /reports with the upload id, then GET /reports/{report_number} to read the audit.
AI Agent Logo Pipeline via Jentic
An agent that responds to design-team requests can run upload, project, and report endpoints in sequence to deliver a cleaned logo and an audit summary, without managing the API token.
Through Jentic, search 'process a logo', load logoraisr POST /uploads, 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
/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
Why 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 time. Agents call the upload-process-result chain without ever reading the raw token.
Intent-based discovery
Agents search by intent (e.g. 'vectorise a logo') and Jentic returns the matching logoraisr operation with its multipart upload schema and follow-up project endpoints.
Time to first call
Direct logoraisr integration: half a day for multipart upload, project creation, and async result polling. Through Jentic: under 30 minutes.
Related APIs
Alternatives and complements available in the Jentic catalogue.
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` scheme) passed in the Authorization header. Through Jentic the token is encrypted at rest in the vault and injected at execution time, so the agent never sees the raw value.
How do I vectorise a logo?
Upload the source image via POST /uploads, then POST /projects with the returned upload id and the vectorise process. Poll GET /projects/{project_number} until the result file id is available, then download via /results/{result_file_id}.
Can I see what processes are available?
Yes. GET /processes returns the catalogue of supported operations along with the identifiers you pass to POST /projects when creating a job.
How do I generate a logo quality report through Jentic?
Run `pip install jentic`, search Jentic for 'analyse a logo image', load the logoraisr POST /reports operation, and execute it with the upload id. Then load GET /reports/{report_number} to fetch the analysis.
What are the rate limits for the logoraisr API?
Numeric rate limits are not embedded in the spec. Treat upload and project endpoints as throttled and back off on HTTP 429 responses.
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