AI Music Generation: Suno and Udio Empower Everyone to Compose

A few years ago, if someone told you 'input some lyrics, and AI can automatically compose, arrange, sing, and output a complete song,' you might have thought it was science fiction. But Suno and Udio have made this a reality. AI music generation is one of the most exciting directions in the field of AI creation.

Suno Deep Dive

Suno is currently the hottest AI music generation tool, with over ten million monthly active users. It can generate a complete 2-4 minute song in tens of seconds, including vocals, accompaniment, and mixing.

Two Creation Modes

**Simple Mode**: Input a song description (e.g., 'a funny rap about programmers working overtime'), and Suno automatically generates lyrics, composition, and singing. Suitable for quickly getting inspiration and exploring ideas.

**Custom Mode**: Write your own lyrics and specify the music style. Suno creates based on your lyrics and style instructions. This mode offers stronger control over the final result and higher quality. Recommended for daily use.

Lyric Writing Tips

Suno uses special tags to control song structure: `[Verse]` (verse), `[Chorus]` (chorus), `[Bridge]` (bridge/transition), `[Intro]` (introduction), `[Outro]` (outro). Adding these tags to your lyrics helps Suno generate songs with a clear structure.

**Example Lyric Format**: "[Verse 1] Morning sunlight filters through the curtains / The aroma of coffee fills the room / [Chorus] This is life / Ordinary yet warm / [Verse 2] Passing by the corner shop / Hearing a familiar melody..."

Style Description (Style Prompt)

The style description determines the song's musical style. Suno supports a very rich combination of styles. Common description methods:

**By Genre**: pop, rock, jazz, electronic, R&B, hip-hop, folk, classical, lo-fi, country

**By Mood**: upbeat, melancholy, energetic, chill, epic

**By Instrument**: acoustic guitar, piano, synth, strings

**Combination Examples**: "chill lo-fi hip-hop, jazzy piano, warm vocals", "epic orchestral, cinematic, powerful chorus"

Udio Deep Dive

Udio is Suno's main competitor, each excelling in different aspects of music quality and style control. Udio's advantages include: more professional music mixing quality, higher fidelity to specific music styles, and support for more detailed music parameter control.

Udio's interface is similar to Suno's, but it supports a more detailed tagging system. You can use more professional music terminology in your style descriptions, and Udio will understand and execute them more precisely.

Practical Application Scenarios

Short Video Background Music

This is the most practical scenario. Creators no longer need to search through royalty-free music libraries for hours—they can directly use Suno to generate original background music that fits the video's atmosphere. The benefit is 100% originality, with no worries about copyright claims.

**Workflow**: Determine video mood and rhythm → Write style description in English (e.g., 'upbeat acoustic pop, happy, clapping') → Generate 3-5 candidate songs → Select the most suitable one → Import into editing software.

Podcast Theme Music

Every podcast needs a unique theme song to build brand recognition. Using Suno to generate a 15-30 second brand track is more unique than buying royalty-free music and cheaper than hiring a musician for a custom piece.

Corporate Promotional Soundtracks

Corporate promotional videos, product launches, annual events—these scenarios all need background music. AI-generated soundtracks can perfectly match the video's rhythm and brand tone, and can be modified infinitely until satisfaction.

Personal Music Creation

Even if you're not a professional musician, you can use AI to create your own songs. Write down what you want to express, choose your favorite style, and AI will handle all the work from composition to singing. Many people use Suno to create birthday songs or commemorative songs for friends and family.

Commercial Licensing Information

**Suno**: Music generated with the free version is for non-commercial use only. Pro ($8/month) and Premier ($24/month) users have full commercial rights to the music they generate.

**Udio**: The free version is also for non-commercial use only. The Standard plan ($8/month) and above support commercial use.

If you plan to use AI-generated music for commercial projects (videos, ads, products, etc.), be sure to use a paid plan to obtain legal commercial authorization.

Limitations of AI Music

Current AI music still has shortcomings in the following areas: pronunciation and intonation of Chinese lyrics can sometimes be unnatural (English songs work better), complex instrument arrangements and music theory aspects are not as good as professional musicians, and results have randomness with each generation, potentially requiring multiple attempts.

The best practice is to treat AI as the starting point of creation, not the endpoint. Use AI to quickly generate a large number of candidate works, select the best from them, and then make fine adjustments in professional audio software as needed.

Congratulations on completing the free chapter on AI audio production! The full course will continue to cover the complete podcast production workflow, AI sound effect design, batch production of audiobooks, and audio content monetization strategies.

Almost all knowledge workers are using AI for writing—but most people aren't using it well. They either treat AI as an advanced text generator or completely rely on AI's output without any modification. Neither approach can produce high-quality content. The core of AI writing is not 'letting AI write for you,' but 'letting AI help you write better and faster.'

The Three Stages of AI Writing

Stage 1: Replacing Typing (Incorrect Usage)

Directly asking AI to write a complete article and then using it with almost no modification. The problems with this approach are: severe content homogenization (everyone uses the same AI to write articles in the same style), lack of depth and unique perspectives, frequent factual errors, and readers can easily tell it's AI-written.

Stage 2: Accelerating the First Draft (Basic Usage)

Having AI generate a first draft or outline, and then you make significant modifications, additions, and improvements on that basis. This approach changes writing from 'starting from scratch' to 'editing and improving,' significantly boosting efficiency. For most scenarios, this is already a very good usage.

Stage 3: Thinking Partner (Advanced Usage)

Treating AI as a writing partner, engaging in multiple rounds of dialogue to polish the content. You propose ideas and have AI challenge and supplement them; you write a paragraph and have AI give improvement suggestions; you have a vague idea and have AI help you clarify the logical structure. This usage can produce truly high-quality content because it combines human insight with AI's information processing capabilities.

Choosing AI Writing Tools

General-Purpose Large Models

**Claude**: The best choice for long-form writing. Supports ultra-long context (200K tokens), has a natural writing style, and excels at academic and professional writing. Especially suitable for scenarios requiring handling long documents or writing in-depth articles.

**ChatGPT**: The most balanced in overall capabilities. GPT-4o has excellent Chinese writing abilities and a rich plugin ecosystem. Suitable for daily writing and multimedia content creation.

**DeepSeek**: Excellent Chinese writing ability, best value for money. Particularly good at logically clear analytical articles. Accessible directly within China, no VPN required.

Professional Writing Tools

**Jasper**: Specializes in marketing copy, with built-in templates and frameworks for various marketing scenarios. Suitable for marketing teams.

**Copy.ai**: Focuses on short copy generation—ad slogans, social media posts, email subject lines, etc. Easy to get started with, rich in templates.

**秘塔写作猫 (Mita Writing Cat)**: A domestic AI writing tool that integrates grammar checking, rewriting/polishing, and AI continuation features. Good support for Chinese writing scenarios.

The Correct Method for Human-AI Collaboration

Your Role: The Steering Wheel and Brakes

You are responsible for: determining the writing goal and audience, providing core viewpoints and unique insights, ensuring factual accuracy, adjusting style and tone, and making the final quality judgment.

AI's Role: The Engine and Accelerator

AI is responsible for: generating structure and outlines, expanding arguments and supplementing information, polishing language and correcting grammar, providing different ways of expression, and handling formatting adjustments and layout.

Practical Writing Workflow

**Round 1 (5 minutes): Brainstorming Dialogue**. Tell AI your writing intent: 'I want to write an article about XXX, the target audience is XXX, the core viewpoint is XXX.' Have AI help you generate an outline and key arguments. Adjust based on this to form the final outline.

**Round 2 (15 minutes): Generating the First Draft**. Have AI generate content paragraph by paragraph according to the outline. For each paragraph, you provide key information and the argument direction you want. Don't ask AI to write the entire article at once—paragraph-by-paragraph generation quality is far higher than one-time generation.

**Round 3 (20 minutes): Manual Deep Processing**. This is the most important step. Review AI's first draft paragraph by paragraph, add your personal experiences and case studies, correct inaccurate information, delete vague expressions, and adjust the tone to make it more like your style.

**Round 4 (5 minutes): AI Polishing**. Give your modified full text back to AI, have it check grammar, optimize transition sentences, and unify formatting.

Avoiding Common Pitfalls in AI Writing

**Template Tone**: AI-generated content is prone to formulaic expressions like 'First... Second... Finally...' and 'In summary...'. Solution: In the prompt, clearly request 'Avoid clichés and formulaic expressions, use a natural conversational tone.'

**Factual Inaccuracy**: AI will confidently fabricate data and citations. All specific data, names, and events must be manually verified.

**Lack of Depth**: AI is good at writing 'correct but superficial' content. You need to add depth through follow-up questions and supplements. Asking AI to 'give a specific case to illustrate' is much more effective than asking it to 'elaborate in detail.'

After understanding the underlying logic of AI writing, the next chapter will focus on business scenarios—how to use AI to write marketing copy that doubles conversion rates.