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

Google DeepMind News
Google DeepMind News
F
Fortinet All Blogs
阮一峰的网络日志
阮一峰的网络日志
Apple Machine Learning Research
Apple Machine Learning Research
爱范儿
爱范儿
WordPress大学
WordPress大学
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
J
Java Code Geeks
罗磊的独立博客
S
SegmentFault 最新的问题
V
V2EX
V
Visual Studio Blog
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
美团技术团队
博客园 - 三生石上(FineUI控件)
Stack Overflow Blog
Stack Overflow Blog
Y
Y Combinator Blog
MyScale Blog
MyScale Blog
D
Docker
Google DeepMind News
Google DeepMind News
Blog — PlanetScale
Blog — PlanetScale
M
Microsoft Research Blog - Microsoft Research
Martin Fowler
Martin Fowler
S
Secure Thoughts
B
Blog
cs.CL updates on arXiv.org
cs.CL updates on arXiv.org
www.infosecurity-magazine.com
www.infosecurity-magazine.com
Recent Announcements
Recent Announcements
MongoDB | Blog
MongoDB | Blog
C
Cisco Blogs
C
CERT Recently Published Vulnerability Notes
T
True Tiger Recordings
GbyAI
GbyAI
P
Proofpoint News Feed
P
Privacy International News Feed
Jina AI
Jina AI
The Cloudflare Blog
I
Intezer
AWS News Blog
AWS News Blog
Hacker News - Newest:
Hacker News - Newest: "LLM"
S
Security Archives - TechRepublic
NISL@THU
NISL@THU
The Register - Security
The Register - Security
Recent Commits to openclaw:main
Recent Commits to openclaw:main
P
Palo Alto Networks Blog
S
Schneier on Security
L
LINUX DO - 热门话题
C
CXSECURITY Database RSS Feed - CXSecurity.com
Security Latest
Security Latest
C
Cybersecurity and Infrastructure Security Agency CISA

DEV Community

Unity’s AI agent went public: the developers of a static analysis tool on what that means for code quality Anna's Archive publica un llms.txt para los LLMs que rastrean su catálogo Why I Built Mneme HQ: Preventing AI Agent Architectural Drift I Built a Pay-Per-Call Crypto Signal API with x402 — Heres the Architecture 🚀 “From Prompts to Autonomous Agents: What Google I/O 2026 Changed” The Power of Distributed Consensus in Autonomous SOCs Sixteen TUI components, copy-paste, no dependency The Boring Reliability Layer Every Autonomous Agent Needs Nven - Secret manager Building Multi-Tenant Row-Level Security in PostgreSQL: A Production Pattern The Hardest Part of Being a Developer Isn't Coding Building Vylo — Looking for Collaborators, Partners & Early Support I Thought Memory Fades With Time. It Actually Fades With Information. ORA-00064 오류 원인과 해결 방법 완벽 가이드 I registered an AI agent at 1 AM and something cracked open in my head Pitch: Nven - Sync secrets. Ship faster. Why y=mx+b is the heart of AI From Routines to a Crew — Building a System That Plans Its Own Work & executes it 25 React Interview Questions 2026 (With Answers) — Hooks, React 19, Concurrent Mode An open source LLM eval tool with two independent quality signals Using Dashboard Filtering to Get Customer Usage in Seconds from TBs of Data Skills, Java 17, And Theme Accents 4 Hard Lessons on Optimizing AI Coding Agents Arctype: Cross-Platform Database GUI for LLM Artifacts Your robots.txt says GPTBot is welcome. Your server says 403. Organizing How to Use AWS Glue Workflow 5 n8n Automations Every Digital Agency Should Be Running (Bill More, Work Less) Getting Started with TorchGeo — Remote Sensing with PyTorch Designing a Scalable Cross-Platform Appium Framework Google Antigravity 2.0 & Slash Commands Building a Unified Adaptive Learning Intelligence with Gemma 4, Flutter, and Multi-Model Orchestration Looking for beta testers for a £60 server management application The Disk-Pressure Incident That Taught Me to Always Set LimitRanges and Other Lessons from Mirroring EKS Locally. Why AI Should Not Write SQL Against ERP Databases Vibe coding works until it doesn't. The debt is real. Shipping at the Edge: Migrating a Coffee Subscription Platform to Cloudflare Workers Stop Tab-Switching: A Developer's Guide to Color Tools That Actually Fit the Workflow DevOps vs MLOps vs AIOps: What Changes, What Stays, and a Simple Roadmap to Get Started Run Powerful AI Coding Locally on a Normal Laptop 5 n8n Automations Every WooCommerce Store Needs (Save 10+ Hours/Week) What I Learned Building My Own AI Harness Hytale Servers Will Fail Treasure Hunts Until We Fix Our Event Handling Redux in React: Managing Global State Like a Pro Unfreezing Your GitHub Actions: Troubleshooting Stuck Deployments and Protecting Your Git Repo Statistics Unlocking Project Discoverability on GHES: A Key to Software Engineering Productivity When the Cleanup Code Becomes the Project Rockpack 8.0 - A React Scaffolder Built for the Age of AI-Assisted Development Mismanaging the Treasure Hunt Engine in Hytale Servers Will Get You Killed Stop Calling It an AI Assistant. It’s Already Managing Your Company Why Hardcoded Automations Fail AI Agents Why I built a post-quantum signing API (and why JWT is on borrowed time) Weekend Thought: Frontend Build Tools Suffer From Work Amnesia AI Is Changing Engineering Culture More Than We Realize A 10-Line Playwright Trick That Saved Me Hours on Every Sephora Run Everyone Was Focused on Gemini, But Infinite Scaler Was the Real Twister "Gemma 4 Analyzed My Bank Statements – Apparently I 'Have a Problem' with Coffee and Late-Night Apps" #css #webdev #beginners #codenewbie The Hidden Layer Every AI Developer Must Learn AlphaEvolve: Google DeepMind's Gemini-Powered Evolutionary Coding Agent RDS Reserved Instance Pricing: Every Engine, Every Rule, Real Dollar Savings How To Build An AI-Powered MVP Without Burning Your Startup Budget In 2026 Reading a Psychrometric Chart Without Getting Lost LMR-BENCH: Can LLM Agents Reproduce NLP Research Code? (EMNLP 2025) How to turn text into colors (without AI) Building Real-Time Apps in Node.js with Rivalis: WebSockets, Rooms, Actors, and a Binary Wire This Week In React #282 : Security, Fate, TanStack, Redux, Jotai | Hermes-node, Expo, Rozenite, Harness | TC39, Bun, pnpm, npm, Yarn, Node AI Copilot vs AI Agent Architecture - What's Actually Different (And Why It Matters) Smart Contract Security: NEAR's Futures Surge and AI Token Risks Database Maintenance: Tracing Production Incidents to Their Root Cause Stop juggling AI SDKs in PHP — meet Prisma Google Quietly Changed What “Apps” Mean at I/O 2026 The Infrastructure Team Is the Real Single Point of Failure Building SQLite from Scratch: 740 Lines of C++23 to Understand Every Byte of a .db File The 4 Levels of Hermes Agent Scaling Framework: From One Hermes Agent to a Fully Automated Team Your AI Has a Memory. It Just Doesn’t Know What to Remember. Claprec: Engineering Tradeoffs - Limited time vs. Perfection (6/6) Building a Daily Google News API Monitor in Python Building RookDuel Avikal: From Chess Steganography to Post-Quantum Archival Security Google I/O e IA: o que realmente muda na vida do dev? Color Contrast Failures: The Number One Accessibility Issue and How to Fix It # I Watched 15 Hours of Hermes Agent Videos So You Don't Have To Cómo solucionar el bucle infinito en useEffect con objetos y arrays en React The First Agent-Centric Cloud Security Platform — And Why We Didn't Build It That Way On Purpose Most Treasure Hunts Engines on Hytale Servers Are Built to Fail - Lessons from a Burned Database GhostScan v3.0 — From Closed-Source EXE to Open-Source Pentest Framework De hojas de cálculo a IA: construyendo una plataforma SRM moderna When is AI fine in education? Python Tools for Managing API Rate Limits in Data Pipelines How to Implement Exponential Backoff for Rate-Limited APIs in Python "My Web Chat Wasn't a Real Channel. That Broke My Agent Pipeline" next-advanced-sitemap v1.0.7 — safer URL ingestion & automatic trimming for Next.js sitemap generation I keep seeing people build an AI lead processing agent when they really need a 6-step rules engine AI Powered Student Learning Assistant Using Gemma 4 How I Built a Drop-In Proxy to Slash My OpenAI Bills by 20%+ Automatically Building a Sarcastic AI English Tutor with Persona-as-Code and Gemini Audio Input for Pronunciation Correction Five Years Later, I Finally Have 96GB VRAM — What It Actually Unlocks for Agent Loops Turning a 1-Line Idea Into a 40-Second Short with a 10-Beat Local Video Pipeline Running LTX-2.3 Alongside TTS on a Single 96GB GPU with a Cold-Start Architecture Cutting LTX-2 22B Peak VRAM by 40% with fp8_cast — and Why optimum-quanto Was a Trap HiDream Skeleton Mode: Prompt Beats OpenPose Ref — 8 Patterns Benchmarked
How to Encode H.265 Video with FFmpeg (CRF + Preset Guide)
Javid Jamae · 2026-05-17 · via DEV Community

Javid Jamae

Originally published at ffmpeg-micro.com

H.265 (HEVC) produces files 30-50% smaller than H.264 at the same visual quality. The trade-off is encoding time. Getting the right CRF and preset combination for your use case is the difference between a file that's too big and an encode that takes all night.

What CRF and Preset Actually Control

CRF (Constant Rate Factor) sets your quality target. Lower numbers mean higher quality and larger files. The libx265 default is 28, which is roughly equivalent to CRF 23 in H.264.

Preset controls how hard the encoder works to hit that quality target. Slower presets find better compression at the same CRF, producing smaller files without losing quality. The trade-off is encode time.

The two settings are independent. CRF picks the quality. Preset picks how efficiently the encoder reaches that quality.

The Basic libx265 Command

ffmpeg -i input.mp4 -c:v libx265 -crf 28 -preset medium -c:a aac -b:a 128k -tag:v hvc1 output.mp4

Enter fullscreen mode Exit fullscreen mode

Flag breakdown:

  • -c:v libx265 selects the H.265/HEVC encoder
  • -crf 28 sets quality (lower = better quality, larger file)
  • -preset medium balances speed and compression (default)
  • -c:a aac -b:a 128k re-encodes audio to AAC at 128kbps
  • -tag:v hvc1 marks the stream for Apple/browser playback compatibility

That -tag:v hvc1 flag is one people miss. Without it, Safari and iOS won't play the file. QuickTime will refuse to open it. If you're encoding for web delivery, always include it.

Which CRF Value for Which Use Case

Use Case CRF Range Why
Archival / master copy 18-22 Visually lossless. Large files, but you keep everything.
Streaming / web delivery 23-28 Good quality at reasonable file sizes. CRF 26 is the sweet spot for most web video.
Social media / batch processing 28-32 Smaller files, acceptable quality for short-form content where compression artifacts are less noticeable.
Preview / thumbnail generation 32-38 Low quality is fine. You're optimizing for speed and small size.

Start at CRF 28 and adjust. Encode a 30-second sample, check the output, then move the CRF up or down by 2-3 points until you hit your target file size and quality.

Preset Speed vs Compression

Preset Relative Speed File Size (same CRF) Best For
ultrafast 10x ~40% larger Testing, previews
fast 4x ~15% larger Real-time or near-real-time
medium 1x (baseline) baseline General use
slow 0.4x ~5-10% smaller Final renders, overnight batches
veryslow 0.1x ~10-15% smaller Archival. Only worth it for content you'll serve thousands of times.

For most developers building automation pipelines, medium or slow is the right answer. veryslow gives diminishing returns that don't justify 10x the encode time unless you're Netflix.

Running H.265 Encodes via API (No libx265 Install)

Installing libx265 means compiling FFmpeg from source on most Linux distros, managing codec dependencies, and dealing with version mismatches. If you're building an automation pipeline, you can skip all of that.

The FFmpeg Micro API accepts raw FFmpeg options. Same flags, no local install:

curl -X POST https://api.ffmpeg-micro.com/v1/transcodes \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "inputs": [{"url": "https://storage.example.com/input.mp4"}],
    "outputFormat": "mp4",
    "options": [
      {"option": "-c:v", "argument": "libx265"},
      {"option": "-crf", "argument": "28"},
      {"option": "-preset", "argument": "medium"},
      {"option": "-tag:v", "argument": "hvc1"}
    ]
  }'

Enter fullscreen mode Exit fullscreen mode

The response comes back immediately with a job ID:

{
  "id": "trc_abc123",
  "status": "queued",
  "outputFormat": "mp4",
  "createdAt": "2026-05-17T10:00:00.000Z"
}

Enter fullscreen mode Exit fullscreen mode

Poll GET /v1/transcodes/trc_abc123 until status is completed, then grab the output from GET /v1/transcodes/trc_abc123/download.

For high-quality archival encodes, just change the CRF and preset:

curl -X POST https://api.ffmpeg-micro.com/v1/transcodes \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "inputs": [{"url": "https://storage.example.com/input.mp4"}],
    "outputFormat": "mp4",
    "options": [
      {"option": "-c:v", "argument": "libx265"},
      {"option": "-crf", "argument": "22"},
      {"option": "-preset", "argument": "slow"},
      {"option": "-tag:v", "argument": "hvc1"}
    ]
  }'

Enter fullscreen mode Exit fullscreen mode

Same two-line change you'd make in the CLI command, but no server to maintain.

Common Pitfalls

Forgetting -tag:v hvc1 for web delivery. Apple devices and most browsers need the hvc1 tag to recognize the HEVC stream. Without it, the file plays fine in VLC but fails in Safari, iOS, and many HTML5 video players.

Using H.264 CRF values with libx265. CRF 23 in H.264 and CRF 23 in H.265 are not the same quality. H.265's CRF 28 matches H.264's CRF 23. If you copy your H.264 settings directly, you'll get unnecessarily large files.

Choosing veryslow for batch pipelines. The compression gain from slow to veryslow is 3-5% smaller files. The time cost is 3-5x longer encodes. For automated pipelines processing hundreds of videos, medium or slow is almost always the right trade-off.

Not specifying audio codec explicitly. If your input has audio in a format incompatible with the MP4 container (like Vorbis), FFmpeg will fail silently or produce a broken file. Always set -c:a aac or -c:a copy (if the source audio is already AAC).

Expecting hardware encoders to support CRF. NVENC, VideoToolbox, and QSV don't support FFmpeg's -crf flag. They use -qp or -b:v instead. If you're running on GPU, the libx265 CRF workflow doesn't apply.

FAQ

Is H.265 always better than H.264?
For file size at the same quality, yes. But H.265 encoding is 2-5x slower, and some older devices can't decode it. If your audience is on modern browsers and mobile devices (2020+), H.265 is the better choice. For maximum compatibility with legacy players, stick with H.264.

What's the difference between CRF and two-pass encoding?
CRF targets constant quality (file size varies). Two-pass targets a specific bitrate (quality varies). Use CRF when you care about quality and can tolerate variable file sizes. Use two-pass when you have a strict file size budget, like streaming with a fixed bitrate cap.

Can I use CRF with the FFmpeg Micro API?
Yes. Pass -crf and -preset as options in the API request. The API runs the same FFmpeg binary with the same flags. No difference in output quality or behavior.

What CRF value gives "visually lossless" H.265?
CRF 18-20 with preset slow or veryslow. At these settings, most viewers can't distinguish the encode from the source in an A/B comparison. File sizes will be 60-70% smaller than the raw source, compared to 80-90% smaller at CRF 28.

Does preset affect quality or just file size?
At the same CRF, slower presets produce smaller files at the same quality. They don't improve quality. They improve compression efficiency. Think of it as: same visual result, less wasted bits.

Last verified: 2026-05-17 against FFmpeg 7.x and FFmpeg Micro API v1