| title | Video processing with FFmpeg |
|---|---|
| sidebarTitle | FFmpeg video processing |
| description | These examples show you how to process videos in various ways using FFmpeg with Trigger.dev. |
import LocalDevelopment from "/snippets/local-development-extensions.mdx";
- A project with Trigger.dev initialized
- FFmpeg installed on your machine
To use these example tasks, you'll first need to add our FFmpeg extension to your project configuration like this:
import { ffmpeg } from "@trigger.dev/build/extensions/core";
import { defineConfig } from "@trigger.dev/sdk/v3";
export default defineConfig({
project: "<project ref>",
// Your other config settings...
build: {
extensions: [ffmpeg()],
},
});You'll also need to add @trigger.dev/build to your package.json file under devDependencies if you don't already have it there.
If you are modifying this example and using popular FFmpeg libraries like fluent-ffmpeg you'll also need to add them to external in your trigger.config.ts file.
This task demonstrates how to use FFmpeg to compress a video, reducing its file size while maintaining reasonable quality, and upload the compressed video to R2 storage.
- Fetches a video from a given URL
- Compresses the video using FFmpeg with various compression settings
- Uploads the compressed video to R2 storage
import { PutObjectCommand, S3Client } from "@aws-sdk/client-s3";
import { logger, task } from "@trigger.dev/sdk/v3";
import ffmpeg from "fluent-ffmpeg";
import fs from "fs/promises";
import fetch from "node-fetch";
import { Readable } from "node:stream";
import os from "os";
import path from "path";
// Initialize S3 client
const s3Client = new S3Client({
// How to authenticate to R2: https://developers.cloudflare.com/r2/api/s3/tokens/
region: "auto",
endpoint: process.env.R2_ENDPOINT,
credentials: {
accessKeyId: process.env.R2_ACCESS_KEY_ID ?? "",
secretAccessKey: process.env.R2_SECRET_ACCESS_KEY ?? "",
},
});
export const ffmpegCompressVideo = task({
id: "ffmpeg-compress-video",
run: async (payload: { videoUrl: string }) => {
const { videoUrl } = payload;
// Generate temporary file names
const tempDirectory = os.tmpdir();
const outputPath = path.join(tempDirectory, `output_${Date.now()}.mp4`);
// Fetch the video
const response = await fetch(videoUrl);
// Compress the video
await new Promise((resolve, reject) => {
if (!response.body) {
return reject(new Error("Failed to fetch video"));
}
ffmpeg(Readable.from(response.body))
.outputOptions([
"-c:v libx264", // Use H.264 codec
"-crf 28", // Higher CRF for more compression (28 is near the upper limit for acceptable quality)
"-preset veryslow", // Slowest preset for best compression
"-vf scale=iw/2:ih/2", // Reduce resolution to 320p width (height auto-calculated)
"-c:a aac", // Use AAC for audio
"-b:a 64k", // Reduce audio bitrate to 64k
"-ac 1", // Convert to mono audio
])
.output(outputPath)
.on("end", resolve)
.on("error", reject)
.run();
});
// Read the compressed video
const compressedVideo = await fs.readFile(outputPath);
const compressedSize = compressedVideo.length;
// Log compression results
logger.log(`Compressed video size: ${compressedSize} bytes`);
logger.log(`Temporary compressed video file created`, { outputPath });
// Create the r2Key for the extracted audio, using the base name of the output path
const r2Key = `processed-videos/${path.basename(outputPath)}`;
const uploadParams = {
Bucket: process.env.R2_BUCKET,
Key: r2Key,
Body: compressedVideo,
};
// Upload the video to R2 and get the URL
await s3Client.send(new PutObjectCommand(uploadParams));
logger.log(`Compressed video saved to your r2 bucket`, { r2Key });
// Delete the temporary compressed video file
await fs.unlink(outputPath);
logger.log(`Temporary compressed video file deleted`, { outputPath });
// Return the compressed video buffer and r2 key
return {
Bucket: process.env.R2_BUCKET,
r2Key,
};
},
});To test this task, use this payload structure:
{
"videoUrl": "<video-url>" // Replace <a-video-url> with the URL of the video you want to upload
}This task demonstrates how to use FFmpeg to extract audio from a video, convert it to WAV format, and upload it to R2 storage.
- Fetches a video from a given URL
- Extracts the audio from the video using FFmpeg
- Converts the extracted audio to WAV format
- Uploads the extracted audio to R2 storage
import { PutObjectCommand, S3Client } from "@aws-sdk/client-s3";
import { logger, task } from "@trigger.dev/sdk/v3";
import ffmpeg from "fluent-ffmpeg";
import fs from "fs/promises";
import fetch from "node-fetch";
import { Readable } from "node:stream";
import os from "os";
import path from "path";
// Initialize S3 client
const s3Client = new S3Client({
// How to authenticate to R2: https://developers.cloudflare.com/r2/api/s3/tokens/
region: "auto",
endpoint: process.env.R2_ENDPOINT,
credentials: {
accessKeyId: process.env.R2_ACCESS_KEY_ID ?? "",
secretAccessKey: process.env.R2_SECRET_ACCESS_KEY ?? "",
},
});
export const ffmpegExtractAudio = task({
id: "ffmpeg-extract-audio",
run: async (payload: { videoUrl: string }) => {
const { videoUrl } = payload;
// Generate temporary file names
const tempDirectory = os.tmpdir();
const outputPath = path.join(tempDirectory, `audio_${Date.now()}.wav`);
// Fetch the video
const response = await fetch(videoUrl);
// Extract the audio
await new Promise((resolve, reject) => {
if (!response.body) {
return reject(new Error("Failed to fetch video"));
}
ffmpeg(Readable.from(response.body))
.outputOptions([
"-vn", // Disable video output
"-acodec pcm_s16le", // Use PCM 16-bit little-endian encoding
"-ar 44100", // Set audio sample rate to 44.1 kHz
"-ac 2", // Set audio channels to stereo
])
.output(outputPath)
.on("end", resolve)
.on("error", reject)
.run();
});
// Read the extracted audio
const audioBuffer = await fs.readFile(outputPath);
const audioSize = audioBuffer.length;
// Log audio extraction results
logger.log(`Extracted audio size: ${audioSize} bytes`);
logger.log(`Temporary audio file created`, { outputPath });
// Create the r2Key for the extracted audio, using the base name of the output path
const r2Key = `extracted-audio/${path.basename(outputPath)}`;
const uploadParams = {
Bucket: process.env.R2_BUCKET,
Key: r2Key,
Body: audioBuffer,
};
// Upload the audio to R2 and get the URL
await s3Client.send(new PutObjectCommand(uploadParams));
logger.log(`Extracted audio saved to your R2 bucket`, { r2Key });
// Delete the temporary audio file
await fs.unlink(outputPath);
logger.log(`Temporary audio file deleted`, { outputPath });
// Return the audio file path, size, and R2 URL
return {
Bucket: process.env.R2_BUCKET,
r2Key,
};
},
});To test this task, use this payload structure:
Make sure to provide a video URL that contains audio. If the video does not have audio, the task will fail.{
"videoUrl": "<video-url>" // Replace <a-video-url> with the URL of the video you want to upload
}This task demonstrates how to use FFmpeg to generate a thumbnail from a video at a specific time and upload the generated thumbnail to R2 storage.
- Fetches a video from a given URL
- Generates a thumbnail from the video at the 5-second mark
- Uploads the generated thumbnail to R2 storage
import { PutObjectCommand, S3Client } from "@aws-sdk/client-s3";
import { logger, task } from "@trigger.dev/sdk/v3";
import ffmpeg from "fluent-ffmpeg";
import fs from "fs/promises";
import fetch from "node-fetch";
import { Readable } from "node:stream";
import os from "os";
import path from "path";
// Initialize S3 client
const s3Client = new S3Client({
// How to authenticate to R2: https://developers.cloudflare.com/r2/api/s3/tokens/
region: "auto",
endpoint: process.env.R2_ENDPOINT,
credentials: {
accessKeyId: process.env.R2_ACCESS_KEY_ID ?? "",
secretAccessKey: process.env.R2_SECRET_ACCESS_KEY ?? "",
},
});
export const ffmpegGenerateThumbnail = task({
id: "ffmpeg-generate-thumbnail",
run: async (payload: { videoUrl: string }) => {
const { videoUrl } = payload;
// Generate output file name
const tempDirectory = os.tmpdir();
const outputPath = path.join(tempDirectory, `thumbnail_${Date.now()}.jpg`);
// Fetch the video
const response = await fetch(videoUrl);
// Generate the thumbnail
await new Promise((resolve, reject) => {
if (!response.body) {
return reject(new Error("Failed to fetch video"));
}
ffmpeg(Readable.from(response.body))
.screenshots({
count: 1,
folder: "/tmp",
filename: path.basename(outputPath),
size: "320x240",
timemarks: ["5"], // 5 seconds
})
.on("end", resolve)
.on("error", reject);
});
// Read the generated thumbnail
const thumbnail = await fs.readFile(outputPath);
// Create the r2Key for the extracted audio, using the base name of the output path
const r2Key = `thumbnails/${path.basename(outputPath)}`;
const uploadParams = {
Bucket: process.env.R2_BUCKET,
Key: r2Key,
Body: thumbnail,
};
// Upload the thumbnail to R2 and get the URL
await s3Client.send(new PutObjectCommand(uploadParams));
const r2Url = `https://${process.env.R2_ACCOUNT_ID}.r2.cloudflarestorage.com/${process.env.R2_BUCKET}/${r2Key}`;
logger.log("Thumbnail uploaded to R2", { url: r2Url });
// Delete the temporary file
await fs.unlink(outputPath);
// Log thumbnail generation results
logger.log(`Thumbnail uploaded to S3: ${r2Url}`);
// Return the thumbnail buffer, path, and R2 URL
return {
thumbnailBuffer: thumbnail,
thumbnailPath: outputPath,
r2Url,
};
},
});To test this task in the dashboard, you can use the following payload:
{
"videoUrl": "<video-url>" // Replace <a-video-url> with the URL of the video you want to upload
}<LocalDevelopment packages={"ffmpeg"} />