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new e48eaa8c62 avfilter/af_whisper: Add max_len parameter
e48eaa8c62 is described below
commit e48eaa8c6211069454b054e0cad4f8270fb563cc
Author: WyattBlue <[email protected]>
AuthorDate: Sun Dec 21 23:51:15 2025 -0500
Commit: Marton Balint <[email protected]>
CommitDate: Wed Feb 4 21:26:02 2026 +0000
avfilter/af_whisper: Add max_len parameter
---
doc/filters.texi | 6 ++++++
libavfilter/af_whisper.c | 12 ++++++++++++
2 files changed, 18 insertions(+)
diff --git a/doc/filters.texi b/doc/filters.texi
index bd9f881aa1..22d0fcf90d 100644
--- a/doc/filters.texi
+++ b/doc/filters.texi
@@ -7768,6 +7768,12 @@ The destination format string; it could be "text" (only
the transcribed text
will be sent to the destination), "srt" (subtitle format) or "json".
Default value: @code{"text"}
+@item max_len
+Maximum segment length in characters. When set to a value greater than 0,
+transcription segments will be split to not exceed this length. This is useful
+for generating subtitles with shorter lines.
+Default value: @code{"0"}
+
@item vad_model
Path to the VAD model file. If set, the filter will load an additional voice
activity detection module (https://github.com/snakers4/silero-vad) that will be
diff --git a/libavfilter/af_whisper.c b/libavfilter/af_whisper.c
index fcc7e415cc..299a8bca7a 100644
--- a/libavfilter/af_whisper.c
+++ b/libavfilter/af_whisper.c
@@ -52,6 +52,7 @@ typedef struct WhisperContext {
int64_t queue;
char *destination;
char *format;
+ int max_len;
struct whisper_context *ctx_wsp;
struct whisper_vad_context *ctx_vad;
@@ -204,6 +205,8 @@ static void run_transcription(AVFilterContext *ctx, AVFrame
*frame, int samples)
params.print_progress = 0;
params.print_realtime = 0;
params.print_timestamps = 0;
+ params.max_len = wctx->max_len;
+ params.token_timestamps = (wctx->max_len > 0);
if (whisper_full(wctx->ctx_wsp, params, wctx->audio_buffer, samples) != 0)
{
av_log(ctx, AV_LOG_ERROR, "Failed to process audio with
whisper.cpp\n");
@@ -224,6 +227,14 @@ static void run_transcription(AVFilterContext *ctx,
AVFrame *frame, int samples)
continue;
}
+ // Skip segments that are parts of [BLANK_AUDIO] when max_len splits
them
+ if (wctx->max_len > 0 && (strcmp(text_cleaned, "[") == 0 ||
strcmp(text_cleaned, "]") == 0 ||
+ strcmp(text_cleaned, "BLANK") == 0 ||
strcmp(text_cleaned, "_") == 0 ||
+ strcmp(text_cleaned, "AUDIO") == 0)) {
+ av_freep(&text_cleaned);
+ continue;
+ }
+
const bool turn =
whisper_full_get_segment_speaker_turn_next(wctx->ctx_wsp, i);
const int64_t t0_ms = whisper_full_get_segment_t0(wctx->ctx_wsp, i) *
10;
const int64_t t1_ms = whisper_full_get_segment_t1(wctx->ctx_wsp, i) *
10;
@@ -437,6 +448,7 @@ static const AVOption whisper_options[] = {
{ "gpu_device", "GPU device to use", OFFSET(gpu_device), AV_OPT_TYPE_INT,
{.i64 = 0}, 0, INT_MAX, .flags = FLAGS },
{ "destination", "Output destination", OFFSET(destination),
AV_OPT_TYPE_STRING, {.str = ""}, .flags = FLAGS },
{ "format", "Output format (text|srt|json)", OFFSET(format),
AV_OPT_TYPE_STRING, {.str = "text"},.flags = FLAGS },
+ { "max_len", "Max segment length in characters", OFFSET(max_len),
AV_OPT_TYPE_INT, {.i64 = 0}, 0, INT_MAX, .flags = FLAGS },
{ "vad_model", "Path to the VAD model file", OFFSET(vad_model_path),
AV_OPT_TYPE_STRING,.flags = FLAGS },
{ "vad_threshold", "VAD threshold", OFFSET(vad_threshold),
AV_OPT_TYPE_FLOAT, {.dbl = 0.5}, 0.0, 1.0, .flags = FLAGS },
{ "vad_min_speech_duration", "Minimum speech duration for VAD",
OFFSET(vad_min_speech_duration), AV_OPT_TYPE_DURATION, {.i64 = 100000}, 20000,
HOURS, .flags = FLAGS },
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