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I will build a local music search and pitching database for sync licensing teams
Music Tech Developer and Data Operations Specialist SQL, APIs and Music CRMs
Scale your music business with custom tech solutions and clean metadata. I specialize in building local music search and pitching databases for sync licensing, auditing catalog metadata for distributi...
About this Gig
Are you missing lucrative TV, film or ad sync opportunities because your music catalog is buried in messy desktop folders and raw spreadsheet rows?
When a music supervisor requests a 128 BPM energetic indie rock track with split rights ready, you have minutes to pitchnot hours. In today's fast-moving sync landscape, slow catalog searching loses placements.
How I Solve Your Problem: I build high-performance, searchable local music relational databases (Airtable, Notion or SQLite) designed specifically for sync licensing teams, boutique publishers, and catalog managers.
What You Get:
- Relational database structure custom built for audio catalogs
- Clean tagging for BPM, Key, Genre, Mood, Instrumentation and Vocal Types
- Clear Split Rights & Publishing Metadata tracking (ISRC/ISWC)
- Fast filter & natural search workflow to generate pitch sheets instantly
- Current Trend Upgrade: AI-ready database schema to integrate with local AI assistants or Claude MCP queries
Stop losing sync deals to disorganization. Lets turn your catalog into a fast pitching machine.
Ready to streamline your sync workflow? Send me a message or order now!
FAQ
What database platforms do you build on?
I build custom local and cloud databases on Airtable, Notion, SQLite or PostgreSQL based on your team's workflow preferences.
Can this handle split rights and publisher contact details?
Yes! The schema explicitly tracks writer percentages, PRO affiliations, publisher contacts and master ownership details.
How do I import my existing spreadsheet or catalog into the new database?
I clean, reformat and batch import your existing CSV/Excel catalog directly into the structured database tables.
Is this database easy for non-technical team members to use?
Absolutely. I set up intuitive filter views, search forms and single [click pitch sheet generators requiring zero technical skill.
Can I search for tracks using multiple tags at once?
Yes, you can filter simultaneously by BPM range, key, mood, genre, split approval status and instrumental availability.
Will this database support AI natural language searches in the future?
Yes, the relational schema is clean and structured to support local AI search integrations or Claude MCP server connections.
