A tool for inspecting and exporting PGS (Presentation Graphic Stream) subtitles. Validates PGS tracks with per-track SDR/HDR detection and can export each subtitle as a PNG using the correct colour pipeline — HDR (UHD Blu-ray, BT.2020 + PQ) or SDR (standard Blu-ray, BT.709).
Accepts .sup files directly, or video containers (MKV, M2TS, etc.) from which PGS subtitle tracks are automatically discovered and extracted via FFmpeg.
Install Python dependencies:
pip install numpy pillow
Just point ProofPGS at any video file or .sup file and run it from the project root:
python -m proofpgs movie.mkvThat's it. ProofPGS will:
- Detect all PGS subtitle tracks in the file
- Auto-detect whether each track is SDR or HDR (per-track color space detection), flagging any mismatch with the video stream's dynamic range
- Prompt you to pick which tracks to process (with an option to validate sparse tracks)
- Prompt you for how many subtitles to decode (defaults to up to 10 cached analysis samples for instant output)
- Decode using the correct color pipeline and save PNGs to a
<filename>_pgs_output/folder next to the input file
Works the same way with .sup, .m2ts, .ts, .mp4, and other container formats.
python -m proofpgs <input_file> [options]
# Specific tracks, first 20 subtitles:
python -m proofpgs movie.mkv --tracks 0,2 --first 20
# All tracks, all subtitles:
python -m proofpgs movie.mkv --tracks all
# Custom output directory:
python -m proofpgs movie.mkv --out ./my_outputProofPGS has six output modes:
auto(default) — Automatically detects whether each subtitle track was mastered for SDR or HDR by analyzing palette data, then decodes each track with the correct pipeline independently. A container with mixed SDR and HDR tracks will process each track using its own detected color space. Falls back tocomparefor any individual track where detection is inconclusive.compare— For delivery proofing. Produces an annotated PNG with a dark background showing the SDR and HDR decodes side by side, labelled for easy comparison. These are opaque RGB images meant for visual review.hdr— Direct export. Outputs the HDR (BT.2020+PQ) decode as a transparent PNG, cropped to content. Useful when you need the subtitle graphic itself.sdr— Direct export. Outputs the SDR (BT.709) decode as a transparent PNG, cropped to content.validate— Analyzes all tracks without a time limit (with scan progress) and displays track information and SDR/HDR detection results without producing any output. Useful for thoroughly checking what PGS tracks a file contains and whether they are mastered for SDR or HDR, including sparse tracks that may be skipped during normal interactive analysis.validate-fast— Runs the same analysis asvalidatebut under the normal 10-second wallclock budget. Sparse tracks that can't be analyzed in time are flagged, and you're prompted to re-analyze them without a time limit if desired. Useful for a quick check when a full unbounded scan isn't needed.
# Auto-detect color space and decode accordingly (default):
python -m proofpgs input.sup
# Force side-by-side comparison:
python -m proofpgs input.sup --mode compare
# Direct export — transparent HDR-decoded PNGs:
python -m proofpgs input.sup --mode hdr
# Direct export — transparent SDR-decoded PNGs:
python -m proofpgs input.sup --mode sdr
# Show track info and detection only (no output):
python -m proofpgs movie.mkv --mode validate
# Quick validation under 10s budget (prompts to re-analyze sparse tracks):
python -m proofpgs movie.mkv --mode validate-fast| Option | Values | Default | Description |
|---|---|---|---|
--mode |
auto, compare, hdr, sdr, validate, validate-fast |
auto |
auto detects color space per-track and decodes each track independently with the correct pipeline. compare produces annotated side-by-side proofing images. hdr and sdr produce direct transparent PNG exports. validate shows track info and detection only (no output). validate-fast same as validate but under the 10s analysis budget with option to re-analyze sparse tracks. |
--tonemap |
clip, reinhard |
clip |
HDR-to-SDR tonemapping strategy. clip hard-clips at 203 nits reference white (best for subtitles). reinhard applies a soft roll-off. |
--out |
path | <filename>_pgs_output/ next to input file |
Output directory. |
--first |
integer | all | Decode only the first N subtitle display sets. |
--tracks |
e.g. 0,2,3 or all |
interactive | Which PGS tracks to process (container input only). |
--nocrop |
flag | off | Output full video-frame-sized PNGs instead of cropping to subtitle content. |
--threads |
integer | auto (up to 8) | Number of parallel rendering threads. |
--install |
flag | — | Register Windows Explorer context menu entries for all supported file types. |
--uninstall |
flag | — | Remove Windows Explorer context menu entries. |
ProofPGS can add a right-click context menu for all supported file types (.sup, .mkv, .m2ts, .ts, .mp4, .m4v, .avi, .wmv). The menu shows a ProofPGS submenu with entries for each output mode.
# Register context menu entries:
python -m proofpgs --install
# Remove context menu entries:
python -m proofpgs --uninstallThe install command records the paths to both the Python interpreter and the project directory at install time. If you move the project or switch Python environments, run --install again to update the paths.
On Windows 11, right-click a supported file and choose Show more options to see the ProofPGS submenu.
Each subtitle is saved as a PNG file named with its display set index, timestamp, and decoded color space:
movie_pgs_output/
track_0_eng/
ds_0000_12500ms_sdr.png
ds_0001_15200ms_sdr.png
...
track_1_ger_forced/
ds_0000_8300ms_hdr.png
...
The output folder is named after the input file (e.g. movie.mkv → movie_pgs_output/). The range suffix (_sdr, _hdr, or _compare) indicates which color pipeline was used to decode the subtitle.
For .sup input (single track), images are written directly to the output directory without a track subfolder.
The palette is encoded in BT.2020 primaries with ST 2084 (PQ) transfer function, per the UHD BD specification. ProofPGS applies the full inverse pipeline:
BT.2020 YCbCr (limited range) -> BT.2020 matrix -> PQ EOTF (linearise)
-> BT.2020 to BT.709 gamut mapping -> Tonemap to SDR
-> sRGB gamma -> PNG
The result is the closest possible SDR/BT.709 representation of the original HDR colour. Brightness above 203 nits reference white is clipped (or soft-mapped with Reinhard), but hue and saturation are preserved.
BT.709 YCbCr (limited range) -> BT.709 gamma -> BT.1886 linearise -> sRGB gamma -> PNG
Track listing (sub-10s): When opening a container, ProofPGS analyzes all PGS tracks in a single FFmpeg pass under a 10-second wallclock budget. It seeks to the middle of the file for representative content and extracts samples from all tracks simultaneously. Tracks that receive enough data get SDR/HDR detection. Sparse tracks (e.g. forced subtitles with very few entries) that can't be analyzed in time are flagged, and you can press [v] at the track selection prompt to re-analyze them without a time limit. A content-based watchdog also terminates FFmpeg early once all tracks have conclusive detection, so analysis often finishes well under 10 seconds.
Streaming extraction: When processing containers with a display-set limit (--first or the interactive default of 10), FFmpeg pipes each track directly to the parser and is terminated as soon as enough subtitles are collected. No temp files are created. Samples are taken from the middle of the file for representative content. Analysis data is reused when it already contains enough display sets, avoiding redundant extraction.
Batch extraction: When processing all subtitles (--tracks all with no --first limit), a single FFmpeg pass extracts all selected tracks to temporary files, then each is decoded in turn.
Multi-threaded rendering: PNG rendering uses multiple threads by default (auto-detected, up to 8). Override with --threads.
proofpgs/
assets/ # Bundled resources (fonts, icons)
Sora-Medium.ttf
Sora-Regular.ttf
__init__.py # Public API exports
__main__.py # python -m proofpgs entry point
cli.py # Argument parsing and main()
constants.py # PQ constants, segment types, file extensions
detect.py # SDR/HDR auto-detection via PQ plausibility analysis
parser.py # PGS binary parsing, segment parsers, RLE decoder
color.py # Colour-space math and palette decoding (HDR & SDR)
renderer.py # Display set rendering and PNG output
ffmpeg.py # FFmpeg/ffprobe integration
interactive.py # Interactive track and count selection
pipeline.py # High-level orchestration
shellmenu.py # Windows Explorer context menu integration
style.py # Terminal styling and color output
LICENSES/
OFL.txt # SIL Open Font License 1.1 (Sora font)