AIMLAPI

Name: AIMLAPI API
Brand: AIMLAPI
Availability: InStock

★ Only Publicly Available SpecAI/MLVisionapiKey2 EndpointsREST

For Agents

Run OCR on documents and analyse images with vision features through two focused endpoints.

Quickstart

Get started with AIMLAPI 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:
"extract text from a document image"

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

Capabilities

What an agent can do with AIMLAPI API.

Extract text from a document image with POST /ocr

Analyse an image with vision features through POST /vision

Run OCR-and-vision pipelines without adopting a full LLM provider

Pair structured OCR output with vision analysis on the same input image

Authenticate every call via the apiKeyAuth scheme so the integration stays simple

GET STARTED

Start building with AIMLAPI API

Explore with Jentic

View OpenAPI Spec

Jentic publishes the only available OpenAPI specification for AIMLAPI, keeping it validated and agent-ready.

Jentic publishes the only available OpenAPI specification for AIMLAPI, keeping it validated and agent-ready. AIMLAPI exposes two purpose-built endpoints for document and image understanding: /ocr extracts text from a document image, and /vision analyses an image with vision features. Authentication uses an apiKey scheme (apiKeyAuth). The surface is intentionally narrow, suited to integrations that need OCR and vision analysis without adopting a full multi-modal LLM stack.

Use Cases

Patterns agents use AIMLAPI API for, with concrete tasks.

★ Invoice OCR Pipeline

Extract text from inbound invoice PDFs and images by sending them to /ocr. The response provides the extracted text, which can then be parsed into supplier, totals, and line items. The endpoint is purpose-built for OCR, so the integration code stays small and predictable.

POST each invoice image to /ocr and parse the returned text into a structured invoice record

Image Understanding for Content Pipelines

Analyse images uploaded to a CMS or content moderation pipeline using /vision. The endpoint returns features about the image that downstream code can use for tagging, captioning, or moderation decisions. Combined with /ocr, the same vendor handles both textual and visual inputs.

POST a CMS upload to /vision and store the returned features alongside the asset for later search and moderation

OCR Plus Vision for Mixed Inputs

Some inputs need both OCR and vision analysis — for example a product photo with a serial number embedded. Run /ocr to extract the serial and /vision to describe the product, then merge the results into a single record.

POST the same image to /ocr and /vision in parallel, then merge serial number with vision features into one record

Agent-Driven Document and Image Triage via Jentic

An agent receives an upload, decides whether it is a document or a photo, and calls /ocr or /vision accordingly. Through Jentic the agent searches for the right operation, the AIMLAPI key is supplied from the vault, and the agent never sees the raw key.

Use Jentic search 'extract text from a document image', execute /ocr, and route non-document images to /vision instead

Key Endpoints

2 endpoints — jentic publishes the only available openapi specification for aimlapi, keeping it validated and agent-ready.

METHOD

PATH

DESCRIPTION

POST

/ocr

Perform OCR on a document

POST

/vision

Analyse an image with vision features

POST

/ocr

Perform OCR on a document

POST

/vision

Analyse an image with vision features

Why though Jentic?

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

Credential isolation

The AIMLAPI apiKeyAuth header value is stored encrypted in the Jentic vault. Agents call /ocr and /vision through Jentic without ever seeing the raw key.

Intent-based discovery

Agents search 'extract text from a document image' or 'analyse an image with vision features' and Jentic returns the matching AIMLAPI operation, ready to call with the input image.

Time to first call

Direct integration: a few hours for key handling and request shaping. Through Jentic: minutes — search, load, execute.

Related APIs

Alternatives and complements available in the Jentic catalogue.

Complementary

AI/ML API

Broader AIMLAPI surface covering chat, embeddings, image generation, and audio

Use the aiml-api spec when you need chat, embeddings, image generation, or audio in addition to OCR and vision.

Alternative

Cloudmersive OCR API

Dedicated OCR provider with broader format support

Pick Cloudmersive when OCR accuracy on specific formats matters more than having vision and OCR under the same vendor.

Alternative

Clarifai API

Vision platform with classification and custom model training

Choose Clarifai when you need richer vision capabilities or custom-trained image models.

FAQs

Specific to using AIMLAPI API through Jentic.

Why is there no official OpenAPI spec for AIMLAPI?

AIMLAPI does not publish an OpenAPI specification. Jentic generates and maintains this spec so that AI agents and developers can call AIMLAPI 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 AIMLAPI use?

An apiKey scheme called apiKeyAuth, sent on each request. Through Jentic the key is held in the vault and never enters the agent's context.

Can I run OCR on a document image?

Yes. POST the document image to /ocr and the API returns the extracted text. For richer parsing, run a structured-data extractor over the returned text on your side.

What are the rate limits for the AIMLAPI?

The OpenAPI spec does not declare explicit rate limits. The endpoint surface is narrow, so the practical limit is the provider's per-key quota — respect HTTP 429 responses and back off accordingly.

How do I run image vision analysis through Jentic?

Run pip install jentic, search 'analyse an image with vision features', execute /vision with the image, and consume the returned analysis. Sign up at https://app.jentic.com/sign-up.

How does this differ from the broader AI/ML API spec?

This spec exposes the focused /ocr and /vision endpoints. The companion AI/ML API spec covers chat completions, embeddings, image generation, and audio. Pick this one for OCR and vision only.