The Exercise Video API

Ship a full exercise video library through one REST API — HD demonstration videos, rich exercise metadata, AI workout generation, and personalisation. No filming, no media pipeline, no content team required.

Exercise video API, explained

What is an exercise video API?

An exercise video API is a web service that delivers professional exercise demonstration videos and structured exercise data to your app or platform through REST endpoints. Instead of filming and managing thousands of clips, your product requests videos, metadata, and full workouts on demand and streams them to any device.

What does the Hyperhuman exercise video API include?

The Hyperhuman Content API includes a stock library of thousands of HD exercise videos with metadata such as muscle groups, equipment, difficulty, and coaching cues, plus endpoints for AI workout generation, personalisation, streaming, embeds, and session tracking. Content is available in 16 languages with white-label delivery.

How do I add exercise videos to my app?

Create a Teams workspace, get an API key on an API-enabled plan, and call the exercise and workout endpoints. Videos stream from pre-signed URLs, so there is no video hosting on your side. Most teams integrate the library and ship their first workout experience in days, not months.

Can the API generate complete workout videos?

Yes. The API assembles complete, ready-to-play workout videos from the exercise library based on goals, fitness level, duration, and available equipment. It can also recommend and adapt workouts per member over time, so each user gets a personalised program rather than a static playlist.

Who uses an exercise video API?

Fitness apps, digital health and wellness platforms, GLP-1 and weight-management programs, connected fitness hardware, gyms, and corporate wellness providers use the Hyperhuman API to launch or scale workout content without building a production studio or a content operations team.

What you get with the Content API

Capability	What members get
Stock exercise library	Thousands of professional HD exercise videos with rich metadata, ready to use from day one.
AI workout generation	Generate complete workouts from goals, level, duration, and equipment via one endpoint.
Personalisation & adaptation	Recommend and adapt workouts per member using progress signals and programming rules.
Streaming & embeds	Video streaming, interactive web players, and embeddable workout experiences.
Session tracking & insights	Track workout sessions and engagement events to power retention and reporting.
16 languages	Exercise names, cues, and voiceovers localised for international products.

How Hyperhuman compares to exercise database APIs

Most exercise APIs return GIFs, short clips, or text data. Hyperhuman delivers HD video plus the intelligence layer on top: AI workout generation, personalization, streaming, and white-label delivery.

	Media	AI workout generation	White-label delivery	Languages	AI-agent tooling
Hyperhuman	HD multi-angle videos + licensed classes	Generate, recommend, and adapt full workouts	Branded apps, embeds, and players	16	MCP server, llms.txt, AGENTS.md
ExerciseDB	Animated GIFs	—	—	English	llms.txt
YMove	HD exercise video clips	—	—	—	MCP server, llms.txt
MuscleWiki	Exercise demonstration videos	—	—	14	MCP server, llms.txt
API Ninjas	Text-only exercise data	—	—	English	—

Based on each vendor's public documentation. Last reviewed: August 2026. “—” = not offered or not publicly documented.

Built for developers — and their AI agents

Authenticate with an API key and call versioned REST endpoints. The OpenAPI spec, LLM bundle, agent integration guide, and MCP server are all public — no signup needed to evaluate the surface.

List workouts

curl "https://content.api.hyperhuman.cc/v1/orgs/{organizationId}/workouts?limit=20" \
  -H "X-Api-Key: $HYPERHUMAN_API_KEY"

Generate a personalized workout

curl -X POST \
  "https://content.api.hyperhuman.cc/v1/orgs/{organizationId}/workouts/generate" \
  -H "X-Api-Key: $HYPERHUMAN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "endUserProfileDetails": { "age": 28, "fitnessLevels": ["beginner"] },
    "exerciseSources": ["premium_stock"],
    "durationOptions": { "minMinutes": 10, "maxMinutes": 15 },
    "categoryId": "<from GET /v1/workouts/metadata>"
  }'

Response (trimmed)

{
  "name": "Beginner Full Body Express",
  "totalDurationSeconds": 720,
  "instances": [
    { "kind": "single-exercise", "durationSeconds": 40,
      "exercise": { "id": "64a1…", "name": "Bodyweight Squats", … } },
    { "kind": "rest", "durationSeconds": 20 }
  ]
}

Using Cursor, Claude Code, or Copilot?

Paste this prompt into your coding agent to integrate against the documented API surface:

Integrate the Hyperhuman Content API into this project. Before writing any code, read https://content.api.hyperhuman.cc/AGENTS.md and follow its conventions verbatim. Use https://content.api.hyperhuman.cc/openapi.json as the contract and https://content.api.hyperhuman.cc/llms-full.txt as the per-endpoint digest. Base URL: https://content.api.hyperhuman.cc — authenticate every request with the X-Api-Key header. Every error response is { "error": { "code", "message" } } — switch on error.code. Paginate by following links.next. Do not send parameters that are not in the OpenAPI spec.