惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

P
Proofpoint News Feed
V
V2EX
WordPress大学
WordPress大学
Google DeepMind News
Google DeepMind News
Martin Fowler
Martin Fowler
小众软件
小众软件
Blog — PlanetScale
Blog — PlanetScale
月光博客
月光博客
The Cloudflare Blog
T
Tailwind CSS Blog
H
Help Net Security
腾讯CDC
爱范儿
爱范儿
人人都是产品经理
人人都是产品经理
H
Hackread – Cybersecurity News, Data Breaches, AI and More
The GitHub Blog
The GitHub Blog
Microsoft Security Blog
Microsoft Security Blog
Stack Overflow Blog
Stack Overflow Blog
D
DataBreaches.Net
C
Check Point Blog
量子位
酷 壳 – CoolShell
酷 壳 – CoolShell
美团技术团队
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com

DEV Community

Authentication Security Deep Dive: From Brute Force to Salted Hashing (With Java Examples) Why AI Systems Don’t Fail — They Drift Spilling beans for how i learn for exam😁"Reinforcement Learning Cheat Sheet" I Replaced Chrome with Safari for AI Browser Automation. Here's What Broke (and What Finally Worked) How Python Borrows Other People's Work The $40 Architecture: Processing 1 Billion API Requests with 99.99% Uptime Vibe Coding: A Workflow Guide (From Zero to SaaS) Most webhook security guides protect the wrong side. The scary part is delivery. Headless CMS for TanStack Start: Build a Blog with Cosmic EU Age Verification App "Hacked in 2 Minutes" — What Actually Happened Comfy Cloud’s delete function does not actually remove files Running AI Models on GPU Cloud Servers: A Beginner Guide Event-driven media intelligence with AWS Step Functions and Bedrock I scored 500 AI prompts across 8 quality dimensions — here's what broke How to Call Google Gemini API from Next.js (Free Tier, No Backend Needed) The Portal Protocol: Reclaiming Human Connection in the Age of AI How to Fix Your Team's Scattered Knowledge Problem With a Self-Hosted Forum Intro to tc Cloud Functors: A Graph-First Mental Model for the Modern Cloud Designing Multi-Tenant Backends With Both Ownership and Team Access I Built a Neumorphic CSS Library with 77+ Components — Here's What I Learned PostgreSQL Performance Optimization: Why Connection Pooling Is Critical at Scale Cómo construí un SaaS multi-rubro para gestionar expensas en Argentina con FastAPI + Vue 3 🚀 I Built an Ethical Hacking Scanner Tool – Open Source Project I Replaced /usage and /context in Claude Code With a Single Statusline A Pythonic Way to Handle Emails (IMAP/SMTP) with Auto-Discovery and AI-Ready Design I Collected 8.9 Million Polymarket Price Points — Here's What I Found About How Markets Really Move EcoTrack AI — Carbon Footprint Tracker & Dashboard Everyone's Using AI. No One Agrees How. 5 self-hosted ebook managers worth trying in 2026 Building Your First AI Agent with LangChain: From Chatbot to Autonomous Assistant
FFmpeg filter_complex Explained: Multi-Input Processing a...
Javid Jamae · 2026-06-27 · via DEV Community

Javid Jamae

Originally published at ffmpeg-micro.com

FFmpeg's -vf flag handles simple, single-stream operations just fine. Scale a video, crop it, add a watermark. But the moment you need two inputs, or want to route one stream through multiple processing paths, -vf breaks down. That's where filter_complex comes in.

filter_complex is FFmpeg's system for building multi-input, multi-output processing graphs. It's also where most developers hit a wall, because the syntax looks like someone spilled regex into a shell command. This guide breaks down how it actually works, with patterns you can copy and modify.

What filter_complex Does That -vf Can't

The -vf flag (and its audio counterpart -af) operates on a single input stream. One video in, one video out. It's a pipeline:

ffmpeg -i input.mp4 -vf "scale=1280:720" output.mp4

filter_complex removes that single-stream constraint. It lets you:

  • Combine multiple input files (overlay, concat, blend)
  • Split one input into multiple processing paths
  • Chain filters across different streams with explicit routing
  • Produce multiple output files from one command

The syntax is different because it has to be. When you have three inputs and two outputs, you need labels to say which stream goes where.

The Label System

Labels are how filter_complex routes streams. Every input gets an automatic label based on its position and stream type:

  • [0:v] is the video stream from the first input
  • [0:a] is the audio stream from the first input
  • [1:v] is the video stream from the second input

You can also create your own labels for intermediate results. Anything in square brackets before a filter is an input label. Anything after a filter (also in square brackets) is an output label:

-filter_complex "[0:v]scale=1280:720[scaled]"

This takes the video from input 0, scales it to 1280x720, and labels the result [scaled]. You then use -map "[scaled]" to route that labeled stream to an output file.

Labels must be unique within a filtergraph. If you use [out] once, you can't use it again.

Pattern 1: Chain Multiple Filters on One Input

The simplest filter_complex pattern. You want to apply several operations in sequence without running FFmpeg multiple times.

ffmpeg -i input.mp4 \
  -filter_complex "[0:v]scale=1280:720,crop=640:360:320:180[out]" \
  -map "[out]" output.mp4

Filters chained with commas run left to right on the same stream. This scales to 1280x720 first, then crops a 640x360 region from the center.

You could do this with -vf "scale=1280:720,crop=640:360:320:180" and get the same result. The filter_complex version only becomes necessary when you need labels for routing, which leads to the next two patterns.

A more practical chain adds text overlay after scaling:

ffmpeg -i input.mp4 \
  -filter_complex "[0:v]scale=1920:1080,drawtext=text='Demo':fontsize=48:x=10:y=10:fontcolor=white[out]" \
  -map "[out]" output.mp4

Pattern 2: Combine Multiple Inputs

This is the most common reason developers reach for filter_complex. You have two or more files and need to merge them into one output.

Overlay (picture-in-picture):

ffmpeg -i main.mp4 -i webcam.mp4 \
  -filter_complex "[1:v]scale=160:90[pip]; [0:v][pip]overlay=W-w-10:H-h-10[out]" \
  -map "[out]" -map "0:a" output.mp4

Notice the semicolon. In filter_complex, semicolons separate independent filter chains. The first chain scales the second input down. The second chain overlays the scaled result onto the first input.

W and H are the width and height of the background video. w and h are the overlay's dimensions. So W-w-10:H-h-10 puts the overlay 10 pixels from the bottom-right corner.

The -map "0:a" at the end grabs audio from the first input, since filter_complex doesn't automatically pass through audio.

Concatenation (join videos end to end):

ffmpeg -i part1.mp4 -i part2.mp4 -i part3.mp4 \
  -filter_complex "[0:v][0:a][1:v][1:a][2:v][2:a]concat=n=3:v=1:a=1[outv][outa]" \
  -map "[outv]" -map "[outa]" output.mp4

The concat filter takes all input streams in order. n=3 tells it there are 3 segments. v=1:a=1 means each segment has one video and one audio stream.

Pattern 3: Split One Input Into Multiple Outputs

Sometimes you need to produce several versions of the same source video in one pass. The split filter duplicates a stream:

ffmpeg -i input.mp4 \
  -filter_complex "[0:v]split=2[a][b]; [a]scale=320:180[small]; [b]scale=1280:720[big]" \
  -map "[small]" small.mp4 \
  -map "[big]" big.mp4

split=2 creates two copies of the input stream, labeled [a] and [b]. Each copy goes through its own scale filter. Each labeled output maps to a different output file.

This is significantly faster than running FFmpeg twice because you only decode the source once.

Running filter_complex Operations via the FFmpeg Micro API

Writing filter_complex commands by hand is where self-hosted FFmpeg gets painful. The syntax is fiddly, errors are cryptic ("Output pad 'default' of filter..." means you forgot a label), and every typo requires re-reading the docs.

FFmpeg Micro's API handles the most common filter_complex patterns without you writing filtergraph syntax. For operations like overlay, concatenation, and multi-step processing, use the options array:

curl -X POST https://api.ffmpeg-micro.com/v1/transcodes \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "inputs": [
      {"url": "https://example.com/main.mp4"},
      {"url": "https://example.com/overlay.png"}
    ],
    "outputFormat": "mp4",
    "options": [
      {"option": "-c:v", "argument": "libx264"},
      {"option": "-crf", "argument": "23"}
    ]
  }'

The API accepts multiple inputs via the inputs array and lets you pass raw FFmpeg options when you need fine-grained control. For operations that don't need custom filtergraphs (most transcoding, format conversion, quality adjustment), the preset field is even simpler:

{
  "inputs": [{"url": "https://example.com/video.mp4"}],
  "outputFormat": "mp4",
  "preset": {"quality": "high", "resolution": "1080p"}
}

No filter_complex syntax. No stream labels. No debugging "pad already used" errors at 2 AM.

Common Pitfalls

"Output pad already used" error. You tried to use a labeled stream twice without splitting it first. Every label can only be consumed once. Use split to duplicate it.

Audio disappearing. filter_complex doesn't pass through unmapped streams. If your filtergraph only processes video, you need -map "0:a" to keep the audio track.

Semicolons vs. commas. Commas chain filters on the same stream. Semicolons separate independent chains. Mix them up and FFmpeg either errors out or produces garbage.

Forgetting -map. When using filter_complex, FFmpeg won't guess which outputs you want. You must explicitly -map every labeled output to a file. No map, no output.

Label naming. Labels can't contain special characters or spaces. Stick to alphanumeric names: [scaled], [pip], [out], [v1].

FAQ

When should I use filter_complex instead of -vf?

Use filter_complex whenever you have more than one input file, need to split a stream into multiple processing paths, or want multiple output files from one command. If you're doing simple single-input processing (scale, crop, rotate), -vf is simpler and does the same thing.

Can I mix video and audio filters in one filter_complex?

Yes. Video and audio filters run in the same filtergraph. Use video stream labels ([0:v]) and audio stream labels ([0:a]) to route each through their respective filters. Just remember that video filters can't process audio and vice versa.

What does the semicolon do in filter_complex?

Semicolons separate independent filter chains within the filtergraph. Each chain processes its own input and produces its own output. Commas chain filters sequentially on the same stream.

How many inputs can filter_complex handle?

There's no hard limit. FFmpeg can handle dozens of inputs in a single filter_complex command. The practical limit is usually memory and the complexity of your filtergraph. For batch operations with hundreds of files, you're better off running separate commands or using an API.

Does FFmpeg Micro support custom filter_complex commands?

FFmpeg Micro handles the most common multi-input operations (concatenation, overlay, multi-step processing) through its inputs array and options fields. For standard use cases, you don't need to write filtergraph syntax at all. For advanced scenarios requiring raw filter_complex strings, pass them through the options array.

Last verified: June 2026