Depth Anything Video API Documentation
Playground
Try it on WaveSpeedAI!Depth Anything Video estimates temporally consistent depth maps from video input, with stable depth across the whole clip and no flicker. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Features
Depth Anything Video estimates dense, pixel-wise depth from an input video and returns a grayscale depth-map video. Depth remains consistent across the clip, helping reduce frame-to-frame flicker and brightness shifts while preserving the spatial structure of moving subjects, camera motion, and scene geometry.
The generated depth video follows the source resolution and duration and keeps the source audio track, with frame rate preserved up to 30 fps, making it suitable for depth-controlled video generation, VFX, compositing, AR, and 3D-aware editing workflows.
Why Choose This?
-
Temporally consistent depth
Depth is normalized across the full video rather than independently frame by frame, helping maintain stable depth values as subjects and cameras move. -
Stable through fast motion
Depth is estimated with temporal context across neighboring frames, so structure holds up through fast camera moves and motion blur instead of changing from frame to frame. -
Fine-grained scene structure
Preserve silhouettes, hands, thin objects, foreground subjects, and background geometry. -
Broad scene support
Works across indoor, outdoor, live-action, and rendered footage without scene-specific tuning. -
Long-video support
Process up to600seconds of video in a single request. -
Original-resolution output
The generated depth video follows the input video resolution. -
Frame-rate preservation
Output follows the source frame rate up to30 fps.
Parameters
| Parameter | Required | Description |
|---|---|---|
| video | Yes | Input video provided as a URL or upload. Up to 600 seconds are processed; longer inputs are processed up to the 10-minute mark. |
How to Use
- Provide an input video — Upload a video or provide its URL.
- Submit — Run the depth-estimation task.
- Retrieve the result — Download the generated grayscale depth-map video.
- Use the output — Feed the depth video into depth-controlled generation, compositing, VFX, parallax, or other spatial workflows.
Pricing
Pricing is based on input video duration.
The rate is $0.005 per billed second.
Billed duration is rounded up to the next whole second, with a minimum billed duration of 3 seconds and a maximum billed duration of 600 seconds.
| Input Duration | Billed Duration | Cost |
|---|---|---|
| 3s | 3s | $0.015 |
| 10s | 10s | $0.05 |
| 60s | 60s | $0.30 |
| 600s | 600s | $3.00 |
Best Use Cases
- Depth-controlled video generation — Use the depth video as a structural control signal for generating new content while following the source motion and camera path.
- Motion and camera replication — Extract depth from a reference clip to guide another video-generation workflow.
- Cinematography and VFX — Apply depth-of-field, fog, volumetric lighting, and depth-aware effects in post-production.
- Compositing — Use scene depth for masking, layering, and spatial placement.
- AR occlusion — Help virtual objects pass correctly in front of or behind real-world subjects.
- Motion graphics — Use depth as a displacement source for transitions and spatial animation.
- 3D-aware editing — Apply depth-driven transformations while retaining scene structure over time.
Pro Tips
- White represents surfaces closer to the camera, while black represents surfaces farther away.
- Treat the generated result as relative depth, not real-world metric distance.
- Use clips with clear foreground and background separation when strong depth structure is important.
- Temporal consistency makes the output better suited to video-control workflows than independently estimating depth frame by frame.
- Videos above
30 fpsare returned at30 fpswhile preserving the same duration. - The output keeps the source audio, so the depth video stays in sync when you lay it back over the original edit.
- Use Depth Anything V3 Video when you need selectable grayscale or colorized depth visualizations.
Notes
videois required.- Up to
600seconds of input video are processed. - Longer videos are processed only up to the first
600seconds. - Output resolution follows the input video resolution.
- Output frame rate follows the source up to
30 fps. - Inputs above
30 fpsare returned at30 fpswith the same duration. - The source audio track is kept in the output video.
- Depth is relative rather than metric.
- Grayscale output uses lighter values for nearer surfaces and darker values for farther surfaces.
Related Models
- Depth Anything Image — Generate grayscale depth maps from individual images.
- Depth Anything Video — Generate temporally consistent grayscale depth-map videos.
- Depth Anything V3 Image — Generate detailed image depth maps with grayscale or color visualization options.
- Depth Anything V3 Video — Generate temporally consistent video depth maps with selectable colormaps.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
set -euo pipefail
export WAVESPEED_API_KEY="your-api-key"
REQUEST_BODY=$(cat <<'JSON'
{
"video": "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4"
}
JSON
)
# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
-X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/depth-anything/video" \
-H "Authorization: Bearer ${WAVESPEED_API_KEY}" \
-H "Content-Type: application/json" \
-d "${REQUEST_BODY}")
TASK=$(printf '%s' "${SUBMIT_RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "${TASK}" | jq -r '.id // empty')
if [ -z "${PREDICTION_ID}" ]; then
printf 'Submission response did not contain a prediction id
' >&2
exit 1
fi
RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result"
# 2. Poll until the prediction finishes.
while true; do
RESPONSE=$(curl --silent --show-error --fail-with-body \
"${RESULT_URL}" \
-H "Authorization: Bearer ${WAVESPEED_API_KEY}")
RESULT=$(printf '%s' "${RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')
case "${STATUS}" in
completed) printf '%s\n' "${RESULT}" | jq '.outputs'; break ;;
failed|cancelled|timeout|deleted) printf '%s\n' "${RESULT}" | jq . >&2; exit 1 ;;
*) sleep 2 ;;
esac
doneParameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| video | string | Yes | - | The URL of the input video to estimate depth for. Up to 10 minutes; longer videos are processed up to the 10-minute mark. |
Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data.id | string | Unique identifier for the prediction, Task Id |
| data.model | string | Model ID used for the prediction |
| data.outputs | array | Output values, usually URL strings; some models return text strings or structured result objects (empty when status is not completed) |
| data.urls | object | Object containing related API endpoints |
| data.status | string | Task status. completed is successful; failed, cancelled, timeout, and deleted are failure terminal statuses. |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |
Result Request Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| id | string | Yes | - | Task ID |
Result Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data | object | The prediction data object containing all details |
| data.id | string | Unique identifier for the prediction |
| data.model | string | Model ID used for the prediction |
| data.outputs | array<string | object> | Array of generated outputs (empty when status is not completed). Items are usually URL strings, but may be text strings or structured result objects, depending on the model. |
| data.urls | object | Object containing related API endpoints |
| data.status | string | Status: completed is successful; failed, cancelled, timeout, and deleted are failure terminal statuses |
| data.created_at | string | ISO timestamp of when the request was created |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |