uace 0.1.3

Universal Auto-Caption Engine - Speech refinement with motion typography

UACE - Universal Auto-Caption Engine

Words are noisy. Meaning is not.
Captions should speak clearly — and move beautifully.

UACE transforms raw speech transcription into clean, readable, beautifully animated captions with professional-grade motion typography.

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✨ What Makes UACE Special

Most caption tools just transcribe. UACE transforms.

🎯 The UACE Difference

• 🧹 Intelligent Cleaning - Removes "um", "uh", repetitions, sound effects automatically
• 🎨 30+ Style Presets - From viral TikTok to cinematic film subtitles
• 🎬 High-Quality Burn-in - Embed captions without quality loss (CRF 18)
• ⚡ CPU & GPU Support - Works on Kaggle, Colab, local machines
• 🔧 Extremely Customizable - 80+ parameters for fine control
• 📦 Offline First - No cloud APIs, no internet required
• 🌍 Multi-Language - Language-aware cleaning and processing

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🚀 Quick Start

Installation

# Install dependencies
pip install faster-whisper pydantic rich click

# Add to path (if using from folder)
import sys
sys.path.append('/path/to/uace-package/src')

Simple Usage

from uace import CaptionEngine

# One line to caption your video
engine = CaptionEngine()
caption = engine.process("video.mp4", output="captions.ass")

With Configuration

from uace import CaptionEngine, ProcessingConfig

config = ProcessingConfig()

# Transcription
config.transcription.gpu = False  # Use CPU (works on Kaggle!)
config.transcription.model = "base"  # tiny, base, small, medium, large

# Styling
config.styling.preset = "big_bold"  # Choose from 30+ styles
config.styling.font_size = 72  # Custom font size
config.styling.primary_color = "#FFD700"  # Gold text

# Cleaning
config.cleaning.mode = "aggressive"  # Remove all fillers

# Generate captions
engine = CaptionEngine(config, verbose=True)
caption = engine.process("video.mp4", "captions.ass")

print(f"✅ Generated {len(caption.segments)} caption segments")

Burn Captions (High Quality, No Quality Loss!)

from uace.utils import burn_captions

# Embed captions directly into video
output = burn_captions(
    video_path="video.mp4",
    caption_path="captions.ass",
    output_path="output.mp4",
    quality="high",  # Visually lossless (CRF 18)
    gpu=True,
    verbose=True
)

print(f"✅ Video with captions: {output}")

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🎨 30+ Built-in Style Presets

🔥 Viral/Social Media Styles

Perfect for TikTok, Instagram Reels, YouTube Shorts

• viral_pop - Original word-by-word pop
• big_bold - HUGE text that zooms in (72px!)
• zoom_punch - Explosive word-by-word zoom
• wave_motion - Smooth flowing wave animation
• elastic_bounce - Playful rubber band bounce
• earthquake - Violent shake effect

🎵 Music/Rhythm Styles

Sync with audio beats

• karaoke - Classic karaoke fill effect
• beat_pulse - Pulse to the beat
• sound_wave - Visual audio waveform
• rhythm_bounce - Bounce to rhythm

🎨 Creative/Artistic Styles

Unique aesthetics

• neon - Cyberpunk neon glow
• glitch - Digital glitch effect
• retro_vhs - 80s VHS aesthetic
• hologram - Futuristic hologram
• graffiti - Street art style
• handwritten - Personal handwriting

🎬 Cinematic Styles

Professional film quality

• minimal - Clean and professional
• subtitle_classic - Traditional subtitles
• cinematic_fade - Elegant film fade
• noir_typewriter - Detective story style

✨ Animation Styles

Dynamic motion effects

• bounce - Energetic bounce
• slide_up - Rise from bottom
• slide_down - Drop from top
• flip_in - 3D flip animation
• rotate_in - Spinning entrance
• blur_focus - Camera focus effect
• typewriter - Character-by-character typing

🌐 3D/Perspective + Special Effects

• perspective_3d - Dramatic 3D tilt
• depth_blur - Depth of field effect
• floating - Gentle floating motion
• fire - Burning flame effect
• lightning - Electric flash
• particles - Magical explosion
• spotlight - Stage reveal effect

See STYLE_GUIDE.md for detailed descriptions and examples.

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🎯 Key Features

🎤 Multi-Engine Transcription

• faster-whisper (default) - Fastest, GPU/CPU
• WhisperX - Advanced alignment + speaker diarization
• distil-whisper - Ultra-fast CPU inference
• Automatic engine selection

🧹 Intelligent Cleaning

• Filler removal ("um", "uh", "like")
• Sound effects ([laughter], [music])
• Repetitions ("I I I think" → "I think")
• Language-aware cleaning
• 4 cleaning modes: none, light, balanced, aggressive

✂️ Semantic Chunking

• Respects phrase boundaries
• Optimizes reading speed
• Maintains natural flow
• 5 chunking strategies

🎨 Motion Typography

• Word-by-word timing
• 20+ animation styles
• Karaoke effects
• ASS format (universal)

💾 Export Formats

• ASS, SRT, VTT, JSON, TXT

---

🔧 Extreme Customization

UACE provides 80+ configuration parameters:

Font Control

config.styling.font_size = 80
config.styling.font_family = "Impact"
config.styling.font_file = "/path/to/custom.ttf"
config.styling.font_weight = "black"
config.styling.font_italic = True
config.styling.letter_spacing = 5
config.styling.text_transform = "uppercase"

Color Control

config.styling.primary_color = "#FFFFFF"
config.styling.outline_color = "#000000"
config.styling.shadow_color = "#FF0000"
config.styling.emphasis_color = "#FFD700"

Effects Control

config.styling.outline_width = 5
config.styling.shadow_depth = 10
config.styling.glow = True
config.styling.glow_intensity = 15
config.styling.blur = 3
config.styling.opacity = 0.9

Animation Control

config.styling.animation_duration = 0.3
config.styling.stagger_delay = 0.08
config.styling.scale_overshoot = 1.5
config.styling.rotation_start = -45
config.styling.rotation_end = 0

3D Effects

config.styling.perspective = True
config.styling.rotation_x = 10
config.styling.rotation_y = 20

Gradients

config.styling.gradient_enabled = True
config.styling.gradient_start = "#FF00FF"
config.styling.gradient_end = "#00FFFF"

See DOCS.md for complete API reference.

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🎬 High-Quality Video Burn-in

Embed captions without quality loss:

Simple High-Quality

from uace.utils import burn_captions

output = burn_captions(
    "video.mp4", 
    "captions.ass", 
    "output.mp4",
    quality="high"  # CRF 18 - visually lossless
)

Lossless (Perfect Quality)

from uace.utils.burnin import VideoBurnIn

VideoBurnIn.burn_captions_lossless(
    "video.mp4", 
    "captions.ass", 
    "output.mp4"
)

Fast Processing

VideoBurnIn.burn_captions_fast(
    "video.mp4",
    "captions.ass", 
    "output.mp4",
    gpu=True
)

Custom Settings

VideoBurnIn.burn_captions(
    video_path="video.mp4",
    caption_path="captions.ass",
    output_path="output.mp4",
    preset="slow",  # veryslow, slow, medium, fast
    crf=15,  # 0-51 (lower = better)
    font_size=80,
    custom_font="/path/to/font.ttf"
)

See BURNIN_GUIDE.md for complete guide.

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💻 Platform Support

✅ Kaggle

config = ProcessingConfig()
config.transcription.gpu = False  # Auto-detects CPU
engine = CaptionEngine(config)

See KAGGLE_SETUP.md

✅ Google Colab

config.transcription.gpu = True  # Use GPU

✅ Local Machine

Works on CPU or GPU, your choice!

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📊 Performance

Processing Speed (base model)

Video Length	CPU Time	GPU Time
1 minute	~5s	~2s
10 minutes	~60s	~15s
30 minutes	~3min	~45s
1 hour	~6min	~90s

Burn-in Speed (1080p, 10-min)

Quality	CPU Time	GPU Time
High	~15 min	~3 min
Lossless	~30 min	~8 min
Fast	~5 min	~1 min

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🎓 Examples

Viral TikTok Style

config = ProcessingConfig()
config.styling.preset = "big_bold"
config.styling.font_size = 80
config.cleaning.mode = "aggressive"

engine = CaptionEngine(config)
caption = engine.process("video.mp4")

Music Video Karaoke

config.styling.preset = "karaoke"
config.transcription.word_timestamps = True

Professional Documentary

config.styling.preset = "subtitle_classic"
config.cleaning.mode = "light"
config.transcription.model = "large"

Podcast with Speakers

config.transcription.diarization = True
config.styling.preset = "minimal"

Custom Cyberpunk

config.styling.preset = "neon"
config.styling.glow_intensity = 20
config.styling.perspective = True

See examples.py for 10+ examples.

---

🔥 Complete Workflow

from uace import CaptionEngine, ProcessingConfig
from uace.utils import burn_captions

# Configure
config = ProcessingConfig()
config.transcription.gpu = False
config.styling.preset = "big_bold"
config.styling.font_size = 72
config.cleaning.mode = "aggressive"

# Generate captions
engine = CaptionEngine(config, verbose=True)
caption = engine.process("video.mp4", "captions.ass")

print(f"✅ Generated {len(caption.segments)} segments")

# Burn into video (high quality)
output = burn_captions(
    "video.mp4",
    "captions.ass",
    "final.mp4",
    quality="high",
    gpu=True
)

print(f"🎉 Final video: {output}")

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📚 Documentation

• QUICK_REFERENCE.md - Quick start with fixes
• DOCS.md - Complete API reference
• STYLE_GUIDE.md - All 30+ styles
• BURNIN_GUIDE.md - Video burn-in guide
• KAGGLE_SETUP.md - Kaggle setup
• FIXES_v1.2.1.md - Recent bug fixes
• STRUCTURE.md - Architecture
• IMPORTS.md - Import guide

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❓ FAQ

Q: Does it work without GPU?
A: Yes! Set config.transcription.gpu = False.

Q: Can I use it on Kaggle?
A: Absolutely! See KAGGLE_SETUP.md.

Q: Will burning reduce video quality?
A: Not with UACE! Use quality="high" (CRF 18).

Q: Can I customize everything?
A: Yes! 80+ configuration parameters.

Q: What languages are supported?
A: 30+ languages with language-aware cleaning.

Q: Can I add custom fonts?
A: Yes! Use config.styling.font_file.

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🐛 Recent Fixes (v1.2.1)

✅ Fixed: String preset handling
✅ Fixed: Auto CPU detection
✅ Fixed: Video quality loss
✅ Added: Font size customization
✅ Added: Custom font support
✅ Added: High-quality burn-in

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🎯 Comparison

Feature	UACE	Whisper	CapCut
Intelligent Cleaning	✅	❌	✅
30+ Presets	✅	❌	✅
Offline	✅	✅	❌
CPU Support	✅	✅	❌
Quality Burn-in	✅	❌	✅
Open Source	✅	✅	❌
Customizable	✅	❌	⚠️

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🌟 Why Choose UACE?

1. Complete Pipeline - Transcribe → Clean → Style → Export → Burn
2. Professional Quality - Visually lossless output
3. Extreme Flexibility - 80+ parameters, 30+ presets
4. Platform Agnostic - Kaggle, Colab, local
5. Offline Capable - No cloud dependencies
6. Open Source - MIT license, extensible
7. Well Documented - 8 comprehensive guides

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📦 What's Included

• Core Engine with multi-stage pipeline
• 3 Transcription Engines
• Intelligent Cleaner
• Semantic Chunker
• 30+ Style Presets
• Video Burn-in Utility
• 5 Export Formats
• Complete Documentation
• Test Suite

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🚀 Get Started

# Install dependencies
pip install faster-whisper pydantic rich click

# Run demo
python demo.py

# Try examples
python examples.py

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📄 License

MIT License - See LICENSE

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🎉 Version History

• v0.1.3 - Logging and Intelligent Speaker labelling added
• v0.1.2 - Small Bug Fix
• v0.1.1 - Bug fixes, burn-in, font customization
• v0.1.0 - Initial release

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UACE - Transform speech into clarity. 🎬✨

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