Bring your own transcript
By default, the Dubbing API transcribes your source media and machine-translates the transcript into each target language. If you already have an accurate transcript — subtitles, a script, or professionally translated text — you can supply it instead. This guide covers the transcript file format, how to create a project from a transcript, and how to provide your own translations when adding a language.
Transcript file format
Section titled “Transcript file format”A transcript is a JSON file with a single top-level segments array. Each segment is one utterance: the text spoken, when it starts and ends, and optionally who speaks it.
transcript.json
{
"segments": [
{
"external_id": "line_0",
"speaker_id": "speaker_0",
"start_s": 0.0,
"end_s": 14.5,
"text": "With my soft and whispery American accent, I'm the ideal choice for creating ASMR content, meditation guides, or adding an intimate feel to your narrative projects."
}
]
}| Field | Required | Description |
|---|---|---|
text |
Yes | The text spoken during the segment. |
start_s |
Yes | Start time of the segment, in seconds. |
end_s |
Yes | End time of the segment, in seconds. |
speaker_id |
No | Identifier grouping segments spoken by the same speaker, so each speaker is dubbed with a consistent voice. Segments that omit it share a single default speaker. |
external_id |
No | Your own identifier for the segment, at most 128 characters and unique within the transcript. Used to key translations and echoed back on every transcript read. |
translation |
No | Translated text for the segment, used to seed the language target created via target_language. If any segment includes one, every segment must. |
Segment rules
Section titled “Segment rules”The transcript is validated when you create the project:
- Segments must be ordered by
start_s. - A segment must be between 0.1 and 25 seconds long, and
end_smust be greater thanstart_s. - Segments with the same
speaker_idmust not overlap, although they may touch at an endpoint. Segments from different speakers may overlap to represent simultaneous speech. - A transcript may contain at most 20,000 segments and the file may be at most 4 MiB.
Prefer shorter segments over longer ones: break sentences wherever there is a pause of one second or longer. Segment boundaries determine how the dubbed audio is timed against the source, so a transcript with accurate, natural breaks produces a better-synchronized dub.
Create a project from your transcript
Section titled “Create a project from your transcript”Pass the transcript file when creating the project. source_language is required when providing a transcript, since the source media is not transcribed automatically. Languages are specified as BCP-47 tags, for example es or fr-CA. See the supported languages and dialects for all accepted values.
import os
from dotenv import load_dotenv
from elevenlabs.client import ElevenLabs
load_dotenv()
elevenlabs = ElevenLabs(api_key=os.getenv("ELEVENLABS_API_KEY"))
with open("transcript.json", "rb") as transcript:
project = elevenlabs.dubbing.project.create(
source_url="https://storage.googleapis.com/eleven-public-cdn/audio/marketing/nicole.mp3",
source_language="en",
transcript=transcript,
)
print(project.project_id)import { ElevenLabsClient } from "@elevenlabs/elevenlabs-js";
import "dotenv/config";
import { createReadStream } from "fs";
const elevenlabs = new ElevenLabsClient();
const project = await elevenlabs.dubbing.project.create({
sourceUrl: "https://storage.googleapis.com/eleven-public-cdn/audio/marketing/nicole.mp3",
sourceLanguage: "en",
transcript: createReadStream("transcript.json"),
});
console.log(project.projectId);The project still ingests the source media before it can be dubbed, so poll it until its status is ready, as shown in the quickstart. Your segments are used as-is; no automatic transcription runs.
Provide your own translations
Section titled “Provide your own translations”When adding a language target, pass a translations map to use your own translations instead of machine translation. The map is keyed by each source segment's external_id, or by its internal segment id if you did not supply one, and must cover every source segment exactly once.
project_id = "proj_1601kwkyxp0hfzvtmyxwqxx6mcy3"
language = elevenlabs.dubbing.project.language.create(
project_id,
target_language="fr",
translations={
"line_0": "Avec mon accent américain doux et murmuré, je suis le choix idéal pour créer du contenu ASMR, des guides de méditation, ou pour apporter une touche d'intimité à vos projets narratifs.",
},
)const projectId = "proj_1601kwkyxp0hfzvtmyxwqxx6mcy3";
const language = await elevenlabs.dubbing.project.language.create(projectId, {
targetLanguage: "fr",
translations: {
line_0:
"Avec mon accent américain doux et murmuré, je suis le choix idéal pour créer du contenu ASMR, des guides de méditation, ou pour apporter une touche d'intimité à vos projets narratifs.",
},
});Each language target takes one create call, so repeat this request for every language you want to dub into. A translations map may contain at most 20,000 entries totalling at most 4 MiB of text.
If your segments have no external_id, read the source transcript to obtain each segment's internal id and use those as keys instead:
transcript = elevenlabs.dubbing.project.transcript.get(project_id)
for segment in transcript.segments:
print(segment.id, segment.text)const transcript = await elevenlabs.dubbing.project.transcript.get(projectId);
for (const segment of transcript.segments) {
console.log(segment.id, segment.text);
}Seed translations at project creation
Section titled “Seed translations at project creation”For a single target language, you can skip the separate translations map by including a translation on every segment in the transcript file and passing target_language when creating the project. The language target is created queued with your translations and begins generating once the project is ready.
transcript.json
{
"segments": [
{
"external_id": "line_0",
"speaker_id": "speaker_0",
"start_s": 0.0,
"end_s": 14.5,
"text": "With my soft and whispery American accent, I'm the ideal choice for creating ASMR content, meditation guides, or adding an intimate feel to your narrative projects.",
"translation": "Avec mon accent américain doux et murmuré, je suis le choix idéal pour créer du contenu ASMR, des guides de méditation, ou pour apporter une touche d'intimité à vos projets narratifs."
}
]
}Quality considerations
Section titled “Quality considerations”The dub is only as good as the transcript and translations it is built from. Segment timings and text are used directly to time and voice the dubbed performance, so inaccurate timings or text degrade the output. Translations are rendered to fit their segment's time span: a translation that is much longer or shorter than the original affects the pacing of the dubbed speech, so aim for translations of comparable spoken length.
Next steps
Section titled “Next steps”Edit the source transcript and translations, then regenerate the dub
Add several target languages to a single project
Explore all Dubbing API parameters and response formats