video-subtitles-and-audio-insert-workflow
DocumentsBurn hard subtitles from UTF-8 SRT files using moviepy 2.x with CJK-capable system fonts; tune font size, placement, stroke, and encode settings (bitrate or CRF) to avoid oversized outputs. Documents ffprobe/ffmpeg workflows for inspection, encoding, and batch jobs; troubleshooting for fonts, bitrate, and pacing. Covers voiceover with edge-tts (voice selection, rate/volume/pitch), matching narration length to video with atempo/apad, and multi-scene pacing with breathing room. Targets moviepy 2.x and Python 3.x on macOS, Linux, and Windows.
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1. Choosing a Technical Approach
Recommended: Python moviepy + CJK fonts
- Tools: moviepy 2.x
- Fonts: System CJK fonts (e.g. STHeiti, Songti, PingFang)
- Pros: Cross-platform, supports Chinese, easy styling control
- Cons: Slower processing (~40s for an 80s video)
Alternative: FFmpeg + libass (requires rebuild)
- Tools: FFmpeg with libass support
- Pros: Fast processing
- Cons: Requires rebuilding FFmpeg; complex setup
2. Core Code Template
#!/usr/bin/env python3
import re
from moviepy import VideoFileClip, TextClip, CompositeVideoClip
def parse_srt(srt_file):
"""Parse an SRT subtitle file."""
with open(srt_file, 'r', encoding='utf-8') as f:
content = f.read()
blocks = content.strip().split('\n\n')
subtitles = []
for block in blocks:
lines = block.strip().split('\n')
if len(lines) >= 3:
time_line = lines[1]
match = re.match(r'(\d{2}):(\d{2}):(\d{2}),(\d{3}) --> (\d{2}):(\d{2}):(\d{2}),(\d{3})', time_line)
if match:
start_h, start_m, start_s, start_ms, end_h, end_m, end_s, end_ms = match.groups()
start_time = int(start_h) * 3600 + int(start_m) * 60 + int(start_s) + int(start_ms) / 1000
end_time = int(end_h) * 3600 + int(end_m) * 60 + int(end_s) + int(end_ms) / 1000
text = '\n'.join(lines[2:])
subtitles.append(((start_time, end_time), text))
return subtitles
def make_textclip(txt, font_path, font_size=40):
"""Create a subtitle text clip."""
return TextClip(
text=txt,
font_size=font_size, # Tune for resolution
color='white',
font=font_path, # CJK-capable font path
stroke_color='black',
stroke_width=2.5,
method='caption',
size=(1100, None), # 1100px width, auto height
text_align='center'
)
def add_subtitles(video_path, srt_path, output_path, font_path, font_size=40, bottom_margin=100):
"""Burn hard subtitles into a video."""
video = VideoFileClip(video_path)
subtitles = parse_srt(srt_path)
subtitle_clips = []
for (start, end), text in subtitles:
txt_clip = make_textclip(text, font_path, font_size)
txt_clip = txt_clip.with_start(start).with_end(end)
# Position: pixels from bottom (avoids wrapped lines past the lower edge)
txt_clip = txt_clip.with_position(('center', video.h - bottom_margin))
subtitle_clips.append(txt_clip)
final_video = CompositeVideoClip([video] + subtitle_clips)
# Important: cap bitrate to avoid huge files
# Prefer checking source bitrate first, then ~1.2–1.5× that value
final_video.write_videofile(
output_path,
codec='libx264',
audio_codec='aac',
fps=video.fps,
preset='medium',
bitrate='600k', # Tune to source (often 400–800k)
threads=4
)
video.close()
# Example usage
if __name__ == '__main__':
add_subtitles(
video_path='input_video.mp4',
srt_path='subtitles.srt',
output_path='output_video_with_subtitles.mp4',
font_path='/System/Library/Fonts/STHeiti Medium.ttc', # macOS
font_size=40, # e.g. 40px for 1280×720
bottom_margin=100 # 100px from bottom
)
3. Key Parameter Settings
3.1 Font choice (critical)
# macOS
font_path = '/System/Library/Fonts/STHeiti Medium.ttc' # STHeiti (recommended)
# or
font_path = '/System/Library/Fonts/Supplemental/Songti.ttc' # Songti
# Linux
font_path = '/usr/share/fonts/truetype/wqy/wqy-microhei.ttc' # WenQuanYi Micro Hei
# Windows
font_path = 'C:/Windows/Fonts/msyh.ttc' # Microsoft YaHei
Note: You must use a font that includes the glyphs you need (e.g. Chinese); otherwise subtitles show as boxes.
3.2 Font size by resolution
| Resolution | Recommended size | Notes |
|---|---|---|
| 1280×720 | 40px | HD |
| 1920×1080 | 60px | Full HD |
| 3840×2160 | 120px | 4K |
3.3 Position
# Pixels from bottom ≈ font_size × 2.5
bottom_margin = font_size * 2.5
# Example: 40px font
bottom_margin = 100 # 100px from bottom
# Y position
position_y = video.h - bottom_margin
3.4 Bitrate (avoid oversized files)
# Step 1: inspect source bitrate
# ffprobe -v error -show_entries format=bit_rate input.mp4
# Step 2: set output bitrate (often 1.2–1.5× source)
# Example:
# source ≈ 444 kbps → output ≈ 600 kbps (~1.35×)
bitrate='600k'
4. Common Issues and Fixes
Issue 1: Subtitles show as boxes
Cause: Font lacks the needed glyphs (e.g. using Arial or Times New Roman for Chinese).
Fix: Use a CJK-capable font (STHeiti, Songti, Microsoft YaHei, etc.).
Issue 2: Output file size explodes
Cause: Bitrate set too high (e.g. 5000 kbps).
Fix:
# Check source bitrate
ffprobe -v error -show_entries format=bit_rate input.mp4
# Set a sensible bitrate (~1.2–1.5× source)
bitrate='600k' # if source was ~444 kbps
Issue 3: Wrapped lines extend past the bottom
Cause: Font too large or position too low.
Fix:
- Reduce font size (e.g. 48px → 40px)
- Raise position (e.g. 80px → 100px from bottom)
- Use:
bottom_margin = font_size * 2.5
Issue 4: Subtitles look faint or unclear
Cause: Stroke too thin or poor contrast.
Fix:
color='white',
stroke_color='black',
stroke_width=2.5 # often 2–3px works well
5. End-to-End Workflow
Step 1: Prepare the subtitle file
# Ensure UTF-8 SRT
file -I subtitles.srt
# Should include: charset=utf-8
# If wrong encoding, convert
iconv -f GBK -t UTF-8 subtitles_gbk.srt > subtitles_utf8.srt
Step 2: Inspect the source video
# Resolution
ffprobe -v error -show_entries stream=width,height input.mp4
# Bitrate
ffprobe -v error -show_entries format=bit_rate input.mp4
Step 3: Tune parameters from video metadata
# Font size from resolution
if width == 1280 and height == 720:
font_size = 40
elif width == 1920 and height == 1080:
font_size = 60
elif width == 3840 and height == 2160:
font_size = 120
# Bitrate from source
new_bitrate = f"{int(original_bitrate * 1.35 / 1000)}k"
Step 4: Run the burn-in script
python3 add_subtitles.py
Step 5: Validate output
ls -lh output_video_with_subtitles.mp4
ffmpeg -i output_video_with_subtitles.mp4 -ss 00:00:10 -vframes 1 test_frame.png
open output_video_with_subtitles.mp4 # macOS
# or
vlc output_video_with_subtitles.mp4 # Linux
# or
start output_video_with_subtitles.mp4 # Windows
6. Performance Tips
6.1 Speed
threads=4 # tune to CPU cores (often 2–8)
preset='fast' # ultrafast, superfast, veryfast, fast, medium, slow — faster = larger files
6.2 Smaller files
bitrate='500k'
preset='slow' # better compression, slower encode
6.3 Quality (CRF)
# Do not combine bitrate and CRF in one pass without knowing the interaction
final_video.write_videofile(
output_path,
codec='libx264',
preset='medium',
# bitrate='600k',
ffmpeg_params=['-crf', '23'] # 18–28; lower = higher quality; 23 is a common default
)
7. Quick Checklist
Before burning subtitles:
- SRT file is UTF-8
- Font covers all characters in the script
- Font size matches resolution (e.g. 40px @ 720p, 60px @ 1080p)
- Bottom margin ≥ ~100px or use
font_size * 2.5 - Bitrate ~1.2–1.5× source (or CRF chosen deliberately)
- Stroke 2–3px with strong contrast
- Spot-check a frame or short segment
8. Reference Commands
List CJK-capable fonts
# macOS
ls /System/Library/Fonts/*.ttc | grep -i "hei\|song"
# Linux
fc-list :lang=zh
# Windows
dir C:\Windows\Fonts\*.ttc
Video info
ffprobe input.mp4
ffprobe -v error -select_streams v:0 -show_entries stream=width,height -of csv=p=0 input.mp4
ffprobe -v error -show_entries format=bit_rate -of default=noprint_wrappers=1:nokey=1 input.mp4
ffprobe -v error -show_entries format=duration -of default=noprint_wrappers=1:nokey=1 input.mp4
Subtitle format / encoding
ffmpeg -i subtitles.srt subtitles.ass
iconv -f GBK -t UTF-8 subtitles_gbk.srt > subtitles_utf8.srt
file -I subtitles.srt
Batch processing
for video in *.mp4; do
python3 add_subtitles.py "$video" "${video%.mp4}.srt" "output_${video}"
done
9. Troubleshooting
moviepy import fails
python3 -c "import moviepy; print(moviepy.__version__)"
pip3 install moviepy
pip3 install --upgrade moviepy
Font path not found
python3 -c "from PIL import ImageFont; ImageFont.truetype('/path/to/font.ttc', 40)"
ls -la /path/to/font.ttc
Encode appears stuck
top # or htop
# Lower threads
threads=2
preset='ultrafast'
10. Best Practices Summary
Suggested defaults (1280×720)
add_subtitles(
video_path='input.mp4',
srt_path='subtitles.srt',
output_path='output_with_subtitles.mp4',
font_path='/System/Library/Fonts/STHeiti Medium.ttc', # adjust per OS
font_size=40,
bottom_margin=100
)
# In write_videofile
bitrate='600k',
preset='medium',
threads=4
Quality vs size
- Quality first:
preset='slow',bitrate='800k'orcrf=20 - Balanced:
preset='medium',bitrate='600k'orcrf=23(common default) - Speed first:
preset='fast',bitrate='500k'orcrf=26
Use cases
- Social sharing: lower bitrate (400–500k) for smaller files
- Professional: CRF (e.g. 20–23)
- Quick preview:
ultrafastpreset
11. Voiceover with edge-tts
11.1 Approach
- Tool:
edge-tts(free TTS via Microsoft Edge voices) - Pros: No API key, natural voices, many locales and styles
- Install:
pip install edge-tts
11.2 Example Chinese voices
| Voice ID | Gender | Style / use case | Notes |
|---|---|---|---|
zh-CN-YunxiNeural | Male | Storytelling, explainers, short video | Very natural, bright |
zh-CN-YunjianNeural | Male | Sports, explainers, fast pace | Energetic, punchy |
zh-CN-YunyangNeural | Male | News, professional | Mature, steady |
zh-CN-XiaoxiaoNeural | Female | News, fiction, general | Warm, natural |
11.3 Minimal Python example
import asyncio
import edge_tts
async def generate_audio(text, output_file):
voice = "zh-CN-YunjianNeural"
# rate: e.g. "-5%" slower, "+10%" faster
# volume: e.g. "+50%"
# pitch: e.g. "-5Hz"
communicate = edge_tts.Communicate(text, voice, rate="-5%")
await communicate.save(output_file)
# asyncio.run(generate_audio("Hello, world!", "output.mp3"))
11.4 Matching audio length to video (FFmpeg)
For storyboards, you often need narration to match a fixed clip duration:
import subprocess
def adjust_audio_duration(input_file, target_duration, output_file):
cmd_duration = [
'ffprobe', '-v', 'error', '-show_entries', 'format=duration',
'-of', 'default=noprint_wrappers=1:nokey=1', input_file
]
result = subprocess.run(cmd_duration, stdout=subprocess.PIPE, text=True)
current_duration = float(result.stdout.strip())
if current_duration > target_duration:
tempo = current_duration / target_duration
# atempo is limited to 0.5–2.0 per filter; chain if needed
tempo_filter = f"atempo={tempo}" if tempo <= 2.0 else f"atempo=2.0,atempo={tempo/2.0}"
cmd = ['ffmpeg', '-y', '-i', input_file, '-filter:a', tempo_filter, output_file]
else:
pad_duration = target_duration - current_duration
cmd = ['ffmpeg', '-y', '-i', input_file, '-filter_complex', f'apad=pad_dur={pad_duration}', output_file]
subprocess.run(cmd)
11.5 Smoother multi-scene narration
Stretching every clip to exactly match each shot can make pacing uneven and feel breathless.
Practices:
- Breathing room: When using
atempo, target something likeshot_duration - 0.2s(tune to taste). - Pad with silence: Use
apadat the end to reach the exact total duration per shot.
Sketch:
actual_target = target_duration - 0.2
if current_duration > actual_target:
tempo = current_duration / actual_target
tempo_filter = f"atempo={tempo}" if tempo <= 2.0 else f"atempo=2.0,atempo={tempo/2.0}"
# run ffmpeg atempo...
else:
pass
# Then apad to target_duration
This keeps overall pacing more even and adds natural pauses between scenes.
Document metadata
| Field | Value |
|---|---|
| Last updated | 2026-03-16 |
| Targets | moviepy 2.x, Python 3.x |
| Tested on | macOS, Linux, Windows; multiple resolutions |