DeepAI API

Name: DeepAI API
Brand: DeepAI API
Availability: InStock

✓ Official Vendor SpecAI/MLVisionapiKey5 EndpointsREST

For Agents

Generate images from text, remove backgrounds, colorize photos, edit images by prompt, and run super-resolution upscaling through DeepAI's five-model vision API.

Install Jentic One Beta

Connect the DeepAI API to your agent

Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the DeepAI API, 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.

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 | sh

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 instance

Jentic 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 DeepAI API.

Generate an image from a text prompt at /text2img

Remove the background from an uploaded image via /background-remover

Edit an image by natural-language instructions through /image-editor

Colorize a black-and-white photo with /colorizer

GET STARTED

Start building with DeepAI API

Explore with Jentic

View OpenAPI Document

Use Cases

Patterns agents use DeepAI API for, with concrete tasks.

★ Marketing creative generation from copy

Marketing workflows that already have ad copy can pass the headline straight to /text2img and produce candidate visuals in seconds, then run /torch-srgan on the chosen image for higher resolution and /background-remover to drop it onto a brand template. The synchronous, one-shot response per endpoint suits ad-iteration loops where dozens of variants are evaluated quickly.

POST /text2img with the headline as the text prompt, take the returned image URL, then POST /torch-srgan to upscale it to ad-ready resolution.

Restoring and re-publishing archive imagery

Editorial teams handling historical archives can run /colorizer to add colour to monochrome scans and /torch-srgan to recover lost detail. Each is a single POST returning the processed image URL, so the workflow can scale across thousands of archive items by simply iterating the source list and storing the outputs.

POST /colorizer with each archive image URL, then POST /torch-srgan on the result and store both URLs alongside the original record.

On-demand product photo cleanup

E-commerce listings that arrive with cluttered or low-resolution photos can be cleaned in two calls: /background-remover for a transparent-background asset, then /torch-srgan to push the resolution up. The synchronous responses make this viable inside a request-time admin tool, not just a batch job.

POST /background-remover with the source URL, then POST /torch-srgan on the result and update the product image field with the final URL.

AI agent generating visuals through Jentic

An agent producing creative for a campaign can search Jentic for 'generate an image from text' and call DeepAI without ever holding the api-key. Because each model is a separate endpoint, the agent can compose multi-step pipelines (generate, then upscale, then remove background) with three discrete Jentic executions and predictable schemas.

Search Jentic for 'generate an image from text', execute /text2img with the prompt, then chain /torch-srgan and /background-remover as needed.

Key Endpoints

5 endpoints — deepai is a multi-model ai provider whose v1 api exposes five vision endpoints: text-to-image generation, background removal, photo editing, image colorization, and torch-srgan super resolution.

METHOD

PATH

DESCRIPTION

POST

/text2img

Generate an image from a text prompt

POST

/background-remover

Remove the background from an image

POST

/image-editor

Edit an image with a natural-language instruction

POST

/colorizer

Colorize a black-and-white photo

POST

/torch-srgan

Upscale and sharpen with super resolution

POST

/text2img

Generate an image from a text prompt

POST

/background-remover

Remove the background from an image

POST

/image-editor

Edit an image with a natural-language instruction

POST

/colorizer

Colorize a black-and-white photo

POST

/torch-srgan

Upscale and sharpen with super resolution

Why Jentic?

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

Credential isolation

Your DeepAI api-key is stored once, encrypted, by your own Jentic One instance and set in the header at execution time. It never enters the agent's prompt, logs, or context.

Intent-based discovery

Agents search Jentic by intent such as 'generate an image from text' or 'colorize a black-and-white photo', and Jentic returns the matching DeepAI operation with its input schema so the agent calls the right endpoint without learning each model's path by hand.

Time to first call

FAQs

Specific to using DeepAI API through Jentic.

What authentication does the DeepAI API use?

DeepAI uses an API key passed in the api-key request header on every endpoint. Through Jentic the key is held in the encrypted vault and applied at execution time, so the raw key never enters the agent's prompt or response.

Can I run text-to-image generation with DeepAI?

Yes. POST /text2img with a text prompt and DeepAI returns a generated image URL synchronously. There is one endpoint per model, so this is a one-shot call rather than a job-and-poll flow.

How do I upscale an image with DeepAI?

POST /torch-srgan with the source image and DeepAI returns a higher-resolution version using torch-srgan super resolution. Pair with /background-remover or /colorizer when the workflow needs more than just upscaling.

What are the rate limits for the DeepAI API?

The OpenAPI spec does not document explicit rate limits. Each endpoint is a synchronous POST, so for batch creative generation, fan out client-side rather than chaining sequentially to keep wall-clock time reasonable.

How do I generate an image through Jentic?

Run pip install jentic, search for 'generate an image from text', and Jentic returns the /text2img operation with its input schema. Load it, supply the prompt, and execute. The response includes the URL of the generated image, ready to download or pass to a downstream tool.

Does DeepAI offer language models or audio APIs in this spec?

Not in this OpenAPI spec. The five endpoints documented here are vision models: text-to-image, background removal, image editor, colorizer, and super resolution. For text generation or audio, choose a different provider rather than expecting it from this surface.

Can I limit what my agent is allowed to do with the DeepAI API?

Yes. Because Jentic One is self-hosted, you run it yourself and your own rules decide which of DeepAI's five vision operations the agent may call. You can grant only the endpoints a given agent needs, for example /text2img for text-to-image generation and /colorizer for photo colorization, while withholding /background-remover, /image-editor, or /torch-srgan. Since DeepAI carries the image or prompt in the request body rather than as a resource id in the path, scoping happens at the operation level, and the agent runs only the vision tasks you grant.

DeepAI API

Connect the DeepAI API to your agent

Capabilities

Start building with DeepAI API

Use Cases

Key Endpoints

Why Jentic?

Related APIs

FAQs