# 1. upload the video once - YouTube, Drive, S3, Vimeo or direct URL
curl -X POST https://api.rask.ai/api/library/v1/media/link \
-H "Authorization: Bearer $TOKEN" -H "Content-Type: application/json" \
-d '{"link": "https://example.com/onboarding.mp4", "name": "onboarding"}'
# 2. one project per subtitle language
for lang in es-mx fr-fr ja-jp; do
curl -X POST https://api.rask.ai/v2/projects \
-H "Authorization: Bearer $TOKEN" -H "Content-Type: application/json" \
-d "{\"video_id\": \"$VIDEO_ID\", \"dst_lang\": \"$lang\"}"
done# When status is merging_done, download both subtitle files
P=$(curl -s https://api.rask.ai/v2/projects/$ID -H "Authorization: Bearer $TOKEN")
curl -s -o onboarding.es-mx.srt "$(echo $P | jq -r .translation_srt_path)"
curl -s -o onboarding.es-mx.vtt "$(echo $P | jq -r .translation_vtt_path)"以文件形式发送视频,或直接提供来自 YouTube、Google Drive、S3、Vimeo 或任何直链的网址。只需上传一次即可支持所有语言的字幕。
将媒体 ID 作为 video_id 传入,并且每个项目指定一种目标语言。不同语言的项目可并行运行。
持续读取状态,直到显示 merging_done,然后下载 .srt 和 .vtt 文件并保存在本地。
# pip install git+ssh://[email protected]/braskai/rask-sdk.git@main
import asyncio, urllib.request
from rask_sdk import clients, enums, schemas
LANGS = ["es-mx", "fr-fr", "ja-jp"]
async def subtitle(client, video_id, lang):
job = await client.create_project(data=schemas.ProjectCreate(video_id=video_id, dst_lang=lang))
while job.status is not enums.ProjectStatus.MERGING_DONE:
await asyncio.sleep(10)
job = await client.get_project(project_id=job.id)
# links are presigned for one hour - save the files right away
urllib.request.urlretrieve(job.translation_srt_path, f"video.{lang}.srt")
urllib.request.urlretrieve(job.translation_vtt_path, f"video.{lang}.vtt")
async def main():
client = clients.RaskSDKClient(client_id=CLIENT_ID, client_secret=CLIENT_SECRET)
media = await client.create_media_link(data=schemas.MediaCreateLink(link="https://example.com/onboarding.mp4"))
while media.status is enums.MediaStatus.PROCESSING:
await asyncio.sleep(5)
media = await client.get_media(media_id=media.id)
await asyncio.gather(*(subtitle(client, media.id, l) for l in LANGS))
asyncio.run(main())import time, requests
AUTH = "https://rask-prod.auth.us-east-2.amazoncognito.com/oauth2/token"
API = "https://api.rask.ai"
token = requests.post(AUTH, auth=(CLIENT_ID, CLIENT_SECRET),
data={"grant_type": "client_credentials"}).json()["access_token"]
h = {"Authorization": f"Bearer {token}"}
pid = requests.post(f"{API}/v2/projects", headers=h,
json={"video_id": VIDEO_ID, "dst_lang": "de-de"}).json()["id"]
while (p := requests.get(f"{API}/v2/projects/{pid}", headers=h).json())["status"] != "merging_done":
time.sleep(10)
# translated subtitles: download the files
open("video.de-de.vtt", "wb").write(requests.get(p["translation_vtt_path"]).content)
# original-language captions: build a WebVTT file from the transcript segments
segs = requests.get(f"{API}/v2/projects/{pid}/transcription", headers=h).json()["segments"]
cues = [f"{s['start'].replace(',', '.')} --> {s['end'].replace(',', '.')}\n{s['src']['text']}" for s in segs]
open("video.en.vtt", "w").write("WEBVTT\n\n" + "\n\n".join(cues) + "\n")// no dependencies, Node 18+ global fetch
import { writeFile } from 'node:fs/promises';
const API = 'https://api.rask.ai';
const sleep = (ms) => new Promise((r) => setTimeout(r, ms));
const auth = await fetch('https://rask-prod.auth.us-east-2.amazoncognito.com/oauth2/token', {
method: 'POST',
headers: { Authorization: 'Basic ' + btoa(`${CLIENT_ID}:${CLIENT_SECRET}`) },
body: new URLSearchParams({ grant_type: 'client_credentials' }),
}).then((r) => r.json());
const h = { Authorization: `Bearer ${auth.access_token}`, 'Content-Type': 'application/json' };
const call = (method, path, body) => fetch(API + path, { method, headers: h, body: body && JSON.stringify(body) }).then((r) => r.json());
const langs = ['es-mx', 'pt-br', 'ko-kr'];
const tracks = await Promise.all(langs.map(async (dst_lang) => {
let p = await call('POST', '/v2/projects', { video_id: VIDEO_ID, dst_lang });
while (p.status !== 'merging_done') { await sleep(10000); p = await call('GET', `/v2/projects/${p.id}`); }
const file = `subs/${dst_lang}.vtt`;
await writeFile(file, await ((await fetch(p.translation_vtt_path)).text()));
return `<track kind="subtitles" srclang="${dst_lang}" src="/${file}">`;
}));
console.log(tracks.join('\n')); // paste inside your <video> element# 1. token (valid 1 hour - cache and reuse it)
TOKEN=$(curl -s -X POST https://rask-prod.auth.us-east-2.amazoncognito.com/oauth2/token \
-u "$CLIENT_ID:$CLIENT_SECRET" -d "grant_type=client_credentials" | jq -r .access_token)
# 2. create the project for one subtitle language
ID=$(curl -s -X POST https://api.rask.ai/v2/projects \
-H "Authorization: Bearer $TOKEN" -H "Content-Type: application/json" \
-d "{\"video_id\": \"$VIDEO_ID\", \"dst_lang\": \"it-it\"}" | jq -r .id)
# 3. wait for merging_done
until [ "$(curl -s https://api.rask.ai/v2/projects/$ID -H "Authorization: Bearer $TOKEN" | jq -r .status)" = merging_done ]; do
sleep 10
done
# 4. save both subtitle files
P=$(curl -s https://api.rask.ai/v2/projects/$ID -H "Authorization: Bearer $TOKEN")
curl -s -o video.it-it.srt "$(echo $P | jq -r .translation_srt_path)"
curl -s -o video.it-it.vtt "$(echo $P | jq -r .translation_vtt_path)"<?php
use GuzzleHttp\Client;
$http = new Client(['base_uri' => 'https://api.rask.ai']);
$json = fn($r) => json_decode($r->getBody(), true);
$auth = $json((new Client)->post('https://rask-prod.auth.us-east-2.amazoncognito.com/oauth2/token',
['auth' => [$clientId, $clientSecret], 'form_params' => ['grant_type' => 'client_credentials']]));
$h = ['Authorization' => 'Bearer ' . $auth['access_token']];
foreach (['es-mx', 'tr-tr'] as $lang) {
$p = $json($http->post('/v2/projects', ['headers' => $h, 'json' => [
'video_id' => $videoId, 'dst_lang' => $lang]]));
while ($p['status'] !== 'merging_done') {
sleep(10);
$p = $json($http->get("/v2/projects/{$p['id']}", ['headers' => $h]));
}
// presigned links, valid for one hour
file_put_contents("video.$lang.srt", file_get_contents($p['translation_srt_path']));
file_put_contents("video.$lang.vtt", file_get_contents($p['translation_vtt_path']));
} 0s created
11s transcription_started
87s translation_started
99s voiceover_started
154s merging_started
165s merging_done

es-mx 和 es-es 类似内容。项目记录 glossary_version,因此后续的修改绝不会悄悄改变已完成的工作。有。每个Rask项目都会以目标语言返回SRT和WebVTT格式的字幕文件。上传视频,为每种字幕语言创建一个项目,并在项目完成时下载文件。
每个项目返回两种格式:目标语言的SRT文件和WebVTT(VTT)文件。如果您的平台需要其他字幕格式,也可以使用带有时间戳的JSON片段格式的文稿。
字幕文件是目标语言的。若要获取原始语言的字幕,请读取文稿片段:每个片段都包含带有开始和结束时间的源文本,只需几行代码即可将其转换为SRT或VTT文件。
支持135种以上的语言和地区选项(如es-mx、pt-br和fr-ca)的字幕,源语言达75种。每个项目对应一种目标语言;您可以从同一个上传文件创建多个不同语言的项目。
暂不支持。API会返回适用于您的播放器或视频剪辑软件的字幕文件。如需获取嵌入字幕的视频,请使用Rask网页应用。
这些文件包含文本和时间轴。字体、大小、颜色和位置均在您的视频播放器、应用程序或剪辑软件中设置,这样可以让同一个字幕文件在任何地方都能使用。
文件包含的是口语对话内容。面向听力障碍观众的音乐和音效描述不会自动生成,您可以在自己的字幕编辑阶段添加它们。
每个文本片段都带有“SPEAKER_XX”格式的说话人标签,因此您在为访谈或对话制作字幕时可以添加说话人姓名。
通过API修改片段的文本或时间,然后重新生成项目。字幕文件会与配音版本同时更新。重新生成的费用按修改过的片段计算,每次运行最低按一分钟计费。
下载链接经过预签名,有效期为一个小时。请将文件保存到您自己的存储空间,或者重新获取项目以获得新的链接。
可以。在支持导入文本的套餐中,您可以在创建项目时上传源语言字幕、已确认的目标语言SRT文件,或者两者都上传。您可以使用现有的字幕作为源文本,也可以保留您认可的目标语言翻译用于字幕和配音。
项目按视频时长(以分钟为单位,向上取整到整分钟)从Rask应用的可用时长池中扣除。价格包含转写、翻译、字幕和配音版本。在符合条件的标准套餐中,额外时长的费用为3美元/分钟。企业版价格根据您的协议量身定制。
创建者专业版(Creator Pro)、商业版和企业版套餐均提供API访问权限,具体功能取决于您的套餐。您可以在应用中生成客户端ID和密钥并立即开始调用。企业版条款、批量定价和定制语言范围需通过我们的团队沟通。