Welcome to the fantastic world of classical guitar. In this site, you will find classical guitar pieces, in midi format, for one and more guitars: actually 5641 MIDI files from 96 composers. Information on how to create midi files and a tutorial on the tablature notation system is presented. Images of ancient guitars provided.
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By converting static hardsubs into editable text tracks, you can easily translate content into other languages, scale text sizes for better accessibility, and make your video libraries completely searchable.
| Mode | Use Case | Speed | Accuracy | |------|----------|-------|----------| | Fast | General use, recommended first choice | Fast | Minor omissions possible | | Auto | Automatically selects model based on hardware | Moderate | CPU uses light model; GPU uses accurate model | | Accurate | When other modes miss subtitles | Very slow | Near-perfect, frame-by-frame detection |
Extracting hardsubs is a form of —you’re literally reverse-engineering pixels back into text. With Subtitle Edit and Tesseract, 80% of videos will give you usable results in under 10 minutes. For the remaining 20% (handwritten fonts, low resolution, rapid flashing text), you may need to manually type the subs yourself.
Premium automated transcription services that feature specialized video-to-text workflows.
Launch your chosen tool. In GUI-based extractors like Video-subtitle-extractor (VSE) , click the "Open" button and select your video file (e.g., .MP4 , .MKV ).
save_subtitles_to_file( video_path='noisy_tv_recording.mp4', output_file_path='subs.srt', lang='eng', # Language code for Tesseract conf_threshold=50, # Only accept text Tesseract is >50% confident about use_fullframe=False, # Faster, crops the video to the bottom area crop_x=0, crop_y=400, # Manually crop to the subtitle area crop_width=1920, crop_height=280 )
Would you like a ready-to-use Python script for batch extracting hardsubs from multiple videos?
Understanding your video file structure can save hours of processing time.
import cv2 import pytesseract import numpy as np import subprocess
Composers are grouped in 6 pages: A-B;
C-F;
G-L;
M-O;
P-R; S-ZÂ .
J.-S.
Bach , A.
Barrios Mangore , N. Coste
, M. Giuliani , F.
Sor and F.
Tarrega are on their own page
Click here
to listen to 20 great MIDI from the site
Composers in alphabetical order
By converting static hardsubs into editable text tracks, you can easily translate content into other languages, scale text sizes for better accessibility, and make your video libraries completely searchable.
| Mode | Use Case | Speed | Accuracy | |------|----------|-------|----------| | Fast | General use, recommended first choice | Fast | Minor omissions possible | | Auto | Automatically selects model based on hardware | Moderate | CPU uses light model; GPU uses accurate model | | Accurate | When other modes miss subtitles | Very slow | Near-perfect, frame-by-frame detection |
Extracting hardsubs is a form of —you’re literally reverse-engineering pixels back into text. With Subtitle Edit and Tesseract, 80% of videos will give you usable results in under 10 minutes. For the remaining 20% (handwritten fonts, low resolution, rapid flashing text), you may need to manually type the subs yourself. extract hardsub from video
Premium automated transcription services that feature specialized video-to-text workflows.
Launch your chosen tool. In GUI-based extractors like Video-subtitle-extractor (VSE) , click the "Open" button and select your video file (e.g., .MP4 , .MKV ). By converting static hardsubs into editable text tracks,
save_subtitles_to_file( video_path='noisy_tv_recording.mp4', output_file_path='subs.srt', lang='eng', # Language code for Tesseract conf_threshold=50, # Only accept text Tesseract is >50% confident about use_fullframe=False, # Faster, crops the video to the bottom area crop_x=0, crop_y=400, # Manually crop to the subtitle area crop_width=1920, crop_height=280 )
Would you like a ready-to-use Python script for batch extracting hardsubs from multiple videos? For the remaining 20% (handwritten fonts, low resolution,
Understanding your video file structure can save hours of processing time.
import cv2 import pytesseract import numpy as np import subprocess
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Note to MIDI sequence contributors
Your submissions are welcomed.Â
Please send them by e-mail (end of text). Pieces
should bear the composer's name and be properly identified.(ex.: J.K. Mertz (1806-1856) Nocturne
Op.4 No.2.). The submissions
should bear information on the transcriber or arranger when available. The submitter's name
will appear beside the accepted submission.Â
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This site exists primarily to showcase pieces written for the classical
guitar. Established and recognized transcriptions and arrangements (e.g.,
Tarrega, Segovia,..) of pieces written by non-guitar composers will also be given
high priority. Â
New compositions for the classical guitar are also welcomed. New
compositions that meet quality guidelines will be added to the site. For
new contributors, it would be appreciated if you would also submit several
pieces by known composers in addition to your own compositions. This will
help to expand the repertoire of established works for the classical guitar in
addition to expanding the repertoire of new music.Â
Last update: March 8 2026
Copyright François Faucher 1998-2025
G.F.Handel's Sonata 2. Allegro
3.Adagio HWV368