AI integrations for new and existing applications

Build AI integrations with SeeAPI’s models and APIs. Copy one prompt to guide your coding assistant through a new project or migrate supported workflows from an existing platform.

Start your migration from Replicate, fal.ai, WaveSpeed

Send the prompt to your agent

Copy the prompt to inspect your project and map the changes.

Create API key

Generate a key and add it to your environment.

Create API key

Explore model guides

Find models for your AI integrations and explore their official API guides.

Why choose SeeAPI for AI integrations?

Build AI integrations using official model guides and your coding assistant. Explore supported capabilities in one place, then connect a new application or adapt an existing workflow.

One place for supported models

Build AI integrations with SeeAPI’s model catalog and public APIs. Check each model’s supported capabilities, inputs, outputs and limits for your application.

Work with your existing project

Use Cursor, Claude Code or Codex to inspect your current calls and identify the integration code that needs changing, while preserving unrelated features.

Know what changes before you move

Compare model IDs, parameters, results and pricing against official documentation. Review unclear mappings before replacing a working integration.

Compare models and API requirements

Before starting an AI migration, compare the exact models, parameters, results and billing units your application relies on. Use the platform examples below to identify what needs to change.

From Replicate to SeeAPI

Match the exact model or version and prediction inputs to a documented SeeAPI model and Endpoint. Review output formats, task states and any custom-model dependencies.

Model, version and capability

Confirm support for each operation your application needs. Prefer the same documented model and version; a similar name is not proof of an equivalent result.

Parameters, defaults and outputs

Check required inputs, aspect ratios, resolution, formats and result URLs. An accepted parameter may still have a different default or limit on another route.

Task handling and cost

Review authentication, idempotency, polling, terminal states and the documented billing unit. Migrating your API entry point does not necessarily change the underlying Provider.

From fal.ai to SeeAPI

Trace the model path and SDK or queue calls your project uses. Map request fields, status handling and result parsing to the chosen SeeAPI operation instead of copying the old request unchanged.

From WaveSpeed to SeeAPI

Identify the model-specific API path and parameters. Compare submission, result retrieval and asset requirements with the SeeAPI guide, then update the full request lifecycle.

How to build AI integrations with SeeAPI

Build AI integrations for a new application or migrate existing workflows. Choose one capability, follow its official guide and validate before launch or switching traffic.

1

Define your starting point

Copy the prompt into your coding assistant. For a new app, describe your goal and preferred framework. For an existing project, ask it to identify current models, versions and API calls.

2

Choose or map your model

For a new app, choose a documented model and capability. For a migration, map each existing operation and keep unsupported ones unchanged. Check required inputs, defaults and limits.

3

Build or adapt the integration

Configure a server-side key, then implement or update authentication, request parameters and result handling. Follow the documented task flow and keep keys out of the AI chat.

4

Validate before going live

Run local checks first. After you authorize a live test, verify results, task states and costs. Launch a new integration when ready, or compare with the existing workflow before switching traffic.

Integration and migration FAQ

SeeAPI may fit if the AI model and capability you need are available in its published API documentation. Compare inputs, outputs, limits and pricing for your actual workload. Do not assume a custom model, fine-tune or pinned version can be moved without a documented equivalent.

Start building your AI integrations

Ready to build or migrate your AI integrations? Find your model in the official guides and use the same integration prompt to get started.