tonhowtf/omniget · error

o arquivo não tem trilha de áudio

Error message

o arquivo não tem trilha de áudio

What it means

Silence cutting operates on audio; after probing, cut_one checks whether any stream has codec_type == "audio". If none does, it throws 'o arquivo não tem trilha de áudio' (the file has no audio track). Silence detection without an audio stream is meaningless, so the operation is refused early.

Solutions

1. Ensure the input contains an audio track; re-record with an audio source enabled.
2. Check with ffprobe -show_streams that an audio stream exists before calling run.
3. If the source legitimately has no audio, skip silence cutting rather than calling the API.

Example fix

// before
cut_silences("screen-no-audio.mp4").await?;
// after
let probe = ffmpeg_probe("screen-no-audio.mp4").await?;
if probe.streams.iter().any(|s| s.codec_type == "audio") {
    cut_silences("screen-no-audio.mp4").await?;
}

// Rust
let probe = ffmpeg_probe(input).await?;
anyhow::ensure!(
    probe.streams.iter().any(|s| s.codec_type == "audio"),
    "entrada sem audio"
);

fn has_audio(p: &Probe) -> bool {
    p.streams.iter().any(|s| s.codec_type == "audio")
}

match run(&opts, input).await {
    Err(e) if e.to_string().contains("trilha de áudio") => {
        eprintln!("pule o corte de silencio: entrada sem audio");
    }
    r => r?,
}

When it happens

Trigger: Calling run/cut_one on a video file with video-only streams (muted capture, screen recording without audio device), or an images-only/animation file.

Common situations: OBS or OS capture configured without a microphone/desktop-audio source; stripped audio track after prior processing; passing a GIF or image sequence.

Understand the failure class

Background: "is not a compatible type" / "cannot merge" errors: when a value's type doesn't match what the library requires — this error's family across 65 libraries.

Related errors

• o arquivo não tem trilha de áudio
• ffmpeg nao iniciou
• não consegui medir o loudness
• nenhuma operação escolhida
• {}

AI-assisted analysis of tonhowtf/omniget@8600b91f42 (2026-09-12). Data as JSON: /api/errors/4bd585d3c9a92b07. Report an issue: GitHub.

Appendix: source

Thrown at src-tauri/omniget-core/src/core/tools/silence_cut.rs:228

            "null",
            "-",
        ])
        .output()
        .await
        .map_err(|e| anyhow!("ffmpeg nao iniciou: {}", e))?;
    Ok(String::from_utf8_lossy(&out.stderr).to_string())
}

async fn cut_one(ffmpeg: &Path, opts: &SilenceOptions, input: &str) -> anyhow::Result<SilenceItem> {
    let inp = Path::new(input);
    let probe = crate::core::ffmpeg::probe(inp).await?;
    let total = probe.duration_seconds;
    if total <= 0.0 {
        return Err(anyhow!("não consegui medir a duração"));
    }
    let has_audio = probe.streams.iter().any(|s| s.codec_type == "audio");
    if !has_audio {
        return Err(anyhow!("o arquivo não tem trilha de áudio"));
    }

    let stderr = detect(ffmpeg, inp, opts.threshold_db, opts.min_silence).await?;
    let spans = parse_spans(&stderr, total);
    let (spans, skipped) = cap_spans(spans, MAX_SEGMENTS);
    let keeps = keep_ranges(&spans, total, opts.padding.max(0.0));
    let kept: f64 = keeps.iter().map(|k| k.duration()).sum();

    let mut item = SilenceItem {
        input: input.to_string(),
        output: None,
        duration_before: total,
        duration_after: kept,
        seconds_removed: (total - kept).max(0.0),
        cuts: spans.len(),
        skipped_short: skipped,
        ok: true,
        error: None,

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