Otter.ai vs Suno

Otter.ai

Pros

• Auto-joins calls across the major conferencing platforms without manual setup
• Summaries and action items save time re-listening to recordings
• Transcript search makes finding a specific moment in an old meeting fast

Cons

• Free tier caps out at 300 minutes a month with a 30-minute limit per conversation
• Accuracy drops noticeably with heavy accents, crosstalk or poor audio
• Business plan has a 5-seat minimum, which is awkward for very small teams

Suno

Pros

• Full song generation, including convincing vocals, is a genuine step beyond instrumental-only AI music tools
• Fast iteration lets you generate many variations of a song idea in minutes
• Stem separation adds real flexibility for remixing or using only part of a generated track

Cons

• Free-tier tracks carry a watermark and non-commercial license, so they can't legally go on Spotify, YouTube monetization or similar platforms
• Lyrical coherence and originality can wander on longer or more complex prompts, needing manual editing
• The training data and copyright status of AI-generated music remains legally contested, which is worth weighing before commercial release

Otter.ai is the better fit for:

• Capturing notes from recurring team standups and client calls
• Producing a searchable archive of meeting transcripts
• Turning a lecture or interview recording into text for review
• Finding what was decided across months of meetings without rewatching them
• Sending a recap and action list without writing one
• Attending two meetings at once by letting one be transcribed and summarised

Suno is the better fit for:

• Producing background music or a theme song for a video or podcast
• Prototyping a song idea or demo before a full studio recording
• Generating royalty-considered music beds for content creators
• Turning a poem or set of lyrics into a fully performed song
• Keeping one consistent artist sound across a whole release
• Scoring a video without navigating a stock music licence