👋 🎬 No-Cost Way to Practice Scoring to Picture Using Canva Canva is an underrated goldmine for composers. You don’t need access to a short film. You don’t need a director. You don’t need permission. You just need initiative. Step 1: Create the Visual Scene Inside Canva: 1. Create a new Video Presentation. 2. Search for cinematic footage (example searches): 3. When you find a clip you like: Now you’ve got a cohesive 30 sec – 1:30 short film. Step 2: Export the Film - Export as MP4 - Keep it clean (no text overlays unless you want to add a title card) Step 3: Bring It Into Your DAW - Import the MP4 into your DAW. - Spot it like a real film. - Identify: Compose like you were hired. Treat it seriously. Step 4: Finalize Your Score - Mix it properly. - Master lightly for clarity. - Export as WAV. Step 5: Recombine in Canva - Re-upload the WAV into Canva. - Replace original audio. - Export final MP4. Now you have: ✅ A fully scored cinematic piece ✅ Something for your reel ✅ A practice project ✅ A sync-style portfolio piece For $0. I have used this personally to create reels and grab the attention of directors. Try it out 🫡

Hey everyone, What sync libraries do you use? Did you create your own and if so, how do you shop your library around? Im new to the sync world and need help.

📍 SIGNAL Federal prosecutors just secured a guilty plea in the first-ever U.S. criminal case involving AI-assisted music streaming fraud. (Music Business Worldwide) A North Carolina man, Michael Smith, admitted to running a scheme where he used AI to generate hundreds of thousands of songs, then deployed bot networks to stream them billions of times across platforms like Spotify, Apple Music, and YouTube Music. (Department of Justice) The result: over $8 million in stolen royalties that should have gone to real artists. (Music Business Worldwide) This is not theory anymore. AI was used to mass-produce music at scale, and automation was used to simulate listeners. The system paid out as if it were real demand. 📂 PATTERN We have now seen three layers of the same shift: 1. AI trains on music without permission 2. AI generates music at scale 3. AI + bots exploit payout systems This case is the first time all three collided into a criminal conviction path. Streaming platforms operate on a shared royalty pool, meaning fake streams do not just create fake success - they pull money away from real creators. (Lewis Silkin) 🚨 PRESSURE POINTS (PROBLEMS BEING OVERLOOKED) - Royalty dilution at scale. Fraud does not just inflate numbers; it redistributes income away from legitimate creators. - AI volume abuse. The scheme only worked because AI could generate a massive catalog volume fast. - Detection limits. Fraud was spread across thousands of songs to avoid triggering platform alarms. (Department of Justice) - System vulnerability. Streaming payouts are not built for a world where content and consumption can both be automated.

Happy Friday everyone! I know most of us juggle a day job, composing/producing, family, all the other life things. How do you manage it all and stay on top of everything?

👋 PTN Fam Here is a great 10 min read.. Check this article out: https://compozly.com/blog/how-modern-composers-stay-profitable/ And great video to watch: https://youtu.be/SMrPF2r7bl8?si=UTCus9pO6NJ3s30K Cheers 🫡