AI Video Editor Talking Head Captions Filler Removal API on WaveSpeedAI

Name: AI Video Editor Talking Head Captions Filler Removal
Brand: wavespeed-ai
SKU: wavespeed-ai/ai-video-editor/talking-head
Price: 0.005 USD
Availability: InStock

README

AI Video Editor — Talking Head

Talking Head automatically cleans up a single talking-to-camera recording while preserving the speaker's intended message. It removes filler words, false starts, repeated takes, and unnecessary pauses, keeps the speaker framed, and adds verified word-timed captions to produce a tighter, more polished version of the original recording.

Use Talking Head when you want to keep the content of a spoken video but make the delivery cleaner and more concise. It is designed for creator videos, presentations, tutorials, interviews, product explanations, courses, and other speaker-focused footage where the goal is to remove mistakes and dead air rather than create a new highlight from selected moments.

Why Choose This?

Automatic talking-head cleanup
Remove filler words, restarts, repeated takes, and dead air without manually editing the timeline.
Natural sentence-level cuts
Speech edits are made around sentence boundaries to help keep transitions natural and avoid abrupt audio cuts.
Captions under your control
Word-by-word highlighted captions by default, plain static captions, or none at all with caption_style. Captions are added only where the transcription is verified, so nothing is captioned with words that were not clearly said.
Speaker-aware reframing
When changing aspect ratio, the frame follows the speaker's face while slides and title cards without a visible face remain fully shown.
Multiple output ratios
Create landscape, vertical, square, portrait, or ultrawide edits for different publishing platforms.
Long-recording support
Process up to 120 minutes of source video in a single request.

Parameters

Parameter	Required	Description
videos	Yes	Talking-head video to edit, provided as a URL or upload. One video is supported. Up to `2` hours are processed; longer input is truncated.
aspect_ratio	No	Output aspect ratio: `16:9`, `9:16`, `1:1`, `4:5`, `5:4`, `4:3`, `3:4`, `3:2`, `2:3`, or `21:9`. If omitted, the output follows the source video.
caption_style	No	Burned-in captions: `highlight` (default) lights up each word as it is spoken, `plain` shows static caption lines, `none` adds no captions.
language	No	Language spoken in the source: `auto`, `en`, `fr`, `es`, `pt`, `it`, `ru`, `zh-CN`, `zh-TW`, `ja`, `ko`. `auto` (default) detects it. Set it when detection is unreliable, such as heavy accents, loud background music or very little speech. For Chinese it also selects the caption script: `zh-CN` simplified, `zh-TW` traditional.

Output

outputs lists the edited MP4 first, followed by its SRT subtitle file. The subtitles are also embedded in the MP4 as a soft subtitle track (off by default), so players such as QuickTime, VLC and video editors can switch them on. The SRT file is returned with every caption_style, including none.

How to Use

Upload your recording — Provide the talking-head video you want to clean up.
Choose a caption style (optional) — Use caption_style to keep word-by-word highlighting, switch to plain captions, or turn captions off.
Choose aspect ratio (optional) — Select a vertical, square, landscape, or other supported format, or leave it unset to follow the source.
Choose language (optional) — Specify the spoken language or keep auto for automatic detection.
Submit — Let the editor analyze the speech, remove unwanted sections, reframe the speaker, and generate verified captions.
Retrieve the result — Download the completed edited and captioned video.

Pricing

Pricing is based on the source video duration.

The rate is $0.005 per 5 seconds, equivalent to $0.06 per minute.

Source duration is rounded up to the next whole second, with a minimum billed duration of 3 seconds and a maximum billed duration of 7200 seconds (120 minutes).

Source Duration	Billed Duration	Cost
1 min	60s	$0.06
10 min	600s	$0.60
60 min	3600s	$3.60
120 min	7200s	$7.20

Only the processed source duration affects pricing. aspect_ratio, caption_style and language add no separate charge.

Best Use Cases

Talking-head videos — Clean up direct-to-camera recordings automatically.
Creator content — Tighten YouTube, short-form, educational, or commentary videos.
Interviews — Remove pauses, restarts, and repeated takes from speaker-focused footage.
Tutorials and explainers — Improve pacing while preserving the speaker's intended content.
Presentations — Turn long spoken recordings into cleaner, more polished videos.
Vertical social content — Reframe landscape recordings for 9:16, 4:5, or square feeds.
Captioned speech content — Generate burned-in captions with verified word timing.

Pro Tips

Use clean recordings with clearly audible speech for stronger transcription and edit decisions.
Set language explicitly when you know the spoken language and want more predictable speech recognition.
Use 9:16 for vertical short-form content and 1:1 or 4:5 for square or portrait social formats.
Leave aspect_ratio unset when you want to preserve the original framing.
Keep the speaker clearly visible when face-following reframing is important.
Speech that cannot be verified keeps its original audio and is left uncaptioned rather than captioned with uncertain words.

Notes

videos is required and accepts one source video.
Maximum input size is 2 GB.
Typical processing time is approximately 0.7× the source duration, such as about 7 minutes for a 10-minute recording.
Filler words, false starts, repeated takes, and long pauses may be removed around sentence boundaries.
If the source already contains burned-in subtitles, generated captions are positioned above them.
Output aspect ratio follows the source when aspect_ratio is not specified.

Ai Video Editor Talking Head API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/ai-video-editor/talking-head with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Ai Video Editor Talking Head below.

HTTP example

set -euo pipefail

: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"

REQUEST_BODY=$(cat <<'JSON'
{
    "videos": [
        "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4"
    ],
    "aspect_ratio": "16:9",
    "caption_style": "highlight",
    "language": "auto"
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/ai-video-editor/talking-head" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d "$REQUEST_BODY")

TASK=$(printf '%s' "$SUBMIT_RESPONSE" | jq 'if has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "$TASK" | jq -r '.id')
if [ -z "$PREDICTION_ID" ] || [ "$PREDICTION_ID" = "null" ]; 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' "$RESPONSE" | jq 'if has("data") then .data else . end')
  STATUS=$(printf '%s' "$RESULT" | jq -r '.status')
  case "$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
done

Node.js example

const submitUrl = "https://api.wavespeed.ai/api/v3/wavespeed-ai/ai-video-editor/talking-head";
const apiKey = process.env.WAVESPEED_API_KEY;
if (!apiKey) throw new Error('Set WAVESPEED_API_KEY');

async function requestJson(url, options = {}) {
  const response = await fetch(url, options);
  if (!response.ok) throw new Error(await response.text());
  return response.json();
}

// 1. Submit the prediction.
const body = await requestJson(submitUrl, {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "videos": [
                "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4"
        ],
        "aspect_ratio": "16:9",
        "caption_style": "highlight",
        "language": "auto"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = `https://api.wavespeed.ai/api/v3/predictions/${task.id}/result`;

// 2. Poll until the prediction finishes.
while (true) {
  const resultBody = await requestJson(resultUrl, {
    headers: { "Authorization": `Bearer ${apiKey}` },
  });
  const result = resultBody.data ?? resultBody;
  if (result.status === "completed") {
    console.log(result.outputs);
    break;
  }
  if (["failed", "cancelled", "timeout", "deleted"].includes(result.status)) throw new Error(JSON.stringify(result));
  await new Promise(resolve => setTimeout(resolve, 2000));
}

Python example

import json
import os
import time
from urllib.request import Request, urlopen

api_key = os.environ["WAVESPEED_API_KEY"]
headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
payload = {
    "videos": [
        "https://interactive-examples.mdn.mozilla.net/media/cc0-videos/flower.mp4"
    ],
    "aspect_ratio": "16:9",
    "caption_style": "highlight",
    "language": "auto"
}

def request_json(url, data=None):
    request = Request(url, data=data, headers=headers, method="POST" if data else "GET")
    with urlopen(request) as response:
        return json.load(response)

# 1. Submit the prediction.
body = request_json("https://api.wavespeed.ai/api/v3/wavespeed-ai/ai-video-editor/talking-head", json.dumps(payload).encode())
task = body.get("data", body)
if not task.get("id"):
    raise RuntimeError("Submission response did not contain a prediction id")
result_url = f"https://api.wavespeed.ai/api/v3/predictions/{task['id']}/result"

# 2. Poll until the prediction finishes.
while True:
    result_body = request_json(result_url)
    result = result_body.get("data", result_body)
    status = result.get("status")
    if status == "completed":
        print(result.get("outputs", []))
        break
    if status in {"failed", "cancelled", "timeout", "deleted"}:
        raise RuntimeError(result)
    time.sleep(2)

Ai Video Editor Talking Head API — Frequently asked questions

What is the Ai Video Editor Talking Head API?

Ai Video Editor Talking Head is a WaveSpeedAI model for video editing, exposed as a REST API on WaveSpeedAI. AI Video Editor Talking Head cleans up a talking-to-camera video: it removes filler words, false starts, repeats and dead air, keeps the speaker framed, and burns in accurate word-timed captions. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Ai Video Editor Talking Head 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 result endpoint starting around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. The playground generates Python, JavaScript, and cURL examples for submitting requests and polling results. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/wavespeed-ai/ai-video-editor-talking-head.

How much does Ai Video Editor Talking Head cost per run?

Ai Video Editor Talking Head starts at $0.005 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 Ai Video Editor Talking Head accept?

Key inputs: `aspect_ratio`, `caption_style`, `language`, `videos`. 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/ai-video-editor-talking-head.

How do I get started with the Ai Video Editor Talking Head 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 Ai Video Editor Talking Head outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (WaveSpeedAI). Check the provider's applicable terms and WaveSpeedAI's Terms of Service before commercial use.

wavespeed-ai/ai-video-editor/talking-head

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