Rife | AI Video Enhancement API

RIFE Video Interpolation

RIFE Video Interpolation uses the state-of-the-art Real-Time Intermediate Flow Estimation algorithm to increase your video's frame rate by inserting synthetic frames between existing ones. The result is dramatically smoother motion — ideal for slow-motion effects, fixing choppy footage, or simply upgrading the visual quality of any clip.

Why Choose This?

Smooth, natural motion Synthesized frames blend seamlessly with the original footage, eliminating stutters and judder without ghosting or blurring.
Flexible interpolation steps Choose 1 to 4 interpolation frames per original frame pair to dial in exactly the level of smoothness you need.
Works on any footage Talking heads, action shots, cinematic scenes, screen recordings — RIFE adapts to a wide range of video content.
No local setup Upload, run, and download. No GPU required on your end.

Parameters

Parameter	Required	Description
video	Yes	Input video to interpolate (URL or file upload).

How to Use

Upload your video — provide the clip you want to smooth via URL or drag-and-drop.
Submit — process, preview, and download your interpolated video.

Pricing

$0.01 per second of input video, with a minimum charge of 1 second.

Best Use Cases

Slow-motion effects — Dramatically slow down footage while maintaining smooth, fluid motion.
Frame rate upscaling — Convert 24fps footage to a higher effective frame rate for a more cinematic or broadcast-ready feel.
Fixing choppy video — Smooth out low-frame-rate recordings from older cameras, screen captures, or compressed sources.
Animation smoothing — Increase the fluidity of animated sequences without re-rendering the source.

Pro Tips

RIFE works best on well-lit, stable footage; heavily compressed or noisy input may produce less clean interpolation.
For slow-motion use, shoot at the highest frame rate your camera supports, then interpolate further with RIFE.

Notes

video is the only required field.
Pricing is based on the duration of the input video at $0.01 per second, with a minimum charge of 1 second.
Ensure video URLs are publicly accessible if using a link rather than a direct upload.

Rife API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/rife with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Rife below.

HTTP example

# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/rife" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d '{
    "video": "https://example.com/your-input.mp4"
}'

# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY"

# When status is "completed", read the output from data.outputs[0].

Node.js example

// npm install wavespeed
const WaveSpeed = require('wavespeed');

const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env

const result = await client.run("wavespeed-ai/rife", {
        "video": "https://example.com/your-input.mp4"
});

console.log(result.outputs[0]); // → URL of the generated output

Python example

# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "wavespeed-ai/rife",
    {
    "video": "https://example.com/your-input.mp4"
}
)

print(output["outputs"][0])  # → URL of the generated output

Rife API — Frequently asked questions

What is the Rife API?

Rife is a WaveSpeedAI model for video editing, exposed as a REST API on WaveSpeedAI. RIFE Video Interpolation generates smooth intermediate frames between existing video frames for higher frame rates and smoother motion. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Rife API?

POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID; poll the prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/wavespeed-ai/rife.

How much does Rife cost per run?

Rife starts at $0.010 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.

What inputs does Rife accept?

Key inputs: `video`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/wavespeed-ai/rife.

How do I get started with the Rife API?

Sign up for a free WaveSpeedAI account to claim starter credits, copy your API key from /accesskey, then call the endpoint shown in the API tab of the playground. The playground also auto-generates a code sample in Python, JavaScript, or cURL for the parameters you've set.

Can I use Rife outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (WaveSpeedAI). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.

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