| Key features | - Emotion-aware vocal synthesis that matches emotional sentiment of lyrics
- Full stem downloads for vocals, drums, bass, synths, and guitars
- Over 50 professional genres including pop, rock, hip-hop, electronic, country, R&B, jazz, classical, lo-fi, synthwave, and ambient
- Studio-quality mastering that balances frequencies, dynamics, and stereo width
- Song generation in under 30 seconds
- AI co-writer to complete verses, choruses, and bridges
- Customizable parameters for mood, tempo, and energy
- 100% royalty-free ownership with full commercial rights
- Advanced NLP analysis of lyrics for emotional patterns, syllable counts, and rhyme schemes
- Batch generation feature and lyrics to song API
| - Sketch-to-Figure: convert hand-drawn sketches into editable scientific illustrations
- Reference-to-Figure: create illustrations from reference images and papers
- PDF-to-Figure and Photo-to-Figure input modes
- DataChart: 50 chart types plotted from CSV and Excel data
- FlowChart: editable diagrams for PRISMA, CONSORT, model architectures and workflows
- Export as editable PPTX, layered SVG and 8K PNG/JPG
- Region redraw and AI editing without regenerating entire figure
- Vector Canvas: edit any figure as layered, editable SVG
- Publication license certificate for each figure with QR verification
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| What makes it different | - Generates radio-ready professional songs in 30 seconds with no musical training or equipment required
- 100% royalty-free ownership with zero restrictions for commercial use on any platform
- AI understands emotional content and matches vocals to the sentiment of lyrics
- Full creative control with downloadable separate stems for remixing and post-production
- Eliminates copyright claims for content creators with original, custom-generated background music
| - Every figure stays editable after generation, not flat raster output like general image generators
- One credit buys creation and editing across all three workspaces: Illustration, DataChart and FlowChart
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Lyrics to Song
SciFig