When someone hands you a voice message, a call recording or a clip from a dispute, the first question is usually whether it has been altered. This tool gives you an AI audio forensics screening of the file. It assesses whether the audio sounds original or edited, points to possible splices, cuts, inserted segments and enhancement, and examines the background noise and room acoustics for sudden changes that do not fit a single continuous take. It also describes the likely recording device or source, lists technical artifacts such as compression or clipping, notes anything that bears on chain of custody, rates the overall evidence quality, and suggests enhancement steps. Use it to decide whether a file deserves a closer professional examination.
Example result
Input
A 3-minute MP3 of a phone conversation between two people, provided as a forwarded file rather than from the original phone.
Output
Authenticity: mostly consistent with one continuous call, with two areas that warrant closer inspection. Possible edits: at about 1:12 the line noise drops abruptly for under a second and returns at a slightly different level; a word boundary sits right at that point. At 2:40 a breath is cut off mid-inhale. Background: steady narrowband phone noise and faint traffic on one side throughout, except the 1:12 gap. Source: telephone-band audio re-encoded to MP3 at a low bitrate, so fine detail that could confirm or rule out splicing has been lost. Chain of custody: forwarded file, no original metadata available. Evidence quality: fair. Recommendation: obtain the original device file and have a qualified examiner review the two flagged points.
Scores
How it works
How Audio Forensics works
- 01
Upload the original file
Sign in, open the tool and upload the recording in the most original form you have. A file copied directly from the device beats a clip forwarded through a messaging app. You can select the AI model.
- 02
Continuity and edit points
The AI listens for abrupt shifts in background hum, room tone or reverb, clicks and gaps at word boundaries, breaths that start or end unnaturally, and level jumps that suggest material was cut or joined.
- 03
Environment and source
It characterizes the space (small room, car, outdoors, phone line), the background noise, and signs of the recording chain, such as codec artifacts, bandwidth limits or processing like noise reduction.
- 04
Evidence quality and next steps
The report closes with an authenticity assessment, a list of anomalies with approximate timestamps, an evidence quality rating and recommendations for enhancement or expert review.
Use cases
Who it is for
Journalists verifying a leaked clip
Screen a recording from a source before you spend days on it, and note which points you need to confirm with the source or an expert.
Lawyers and paralegals triaging material
Get a quick technical overview of a client's recording to decide whether commissioning a certified forensic examiner is worthwhile.
HR and workplace investigations
Check whether a submitted meeting or call recording shows obvious signs of editing before relying on it in an internal process.
Anyone doubting a voice message
If a message you received sounds oddly stitched together, get a structured second look at the continuity of the audio.
Tips
Get better results
- Always analyze the earliest copy you can get. Each re-encode or forward removes detail that helps expose edits.
- Keep an untouched original and work only on duplicates, and write down where and when you obtained the file.
- Do not run noise reduction or normalization before uploading; processing can hide edit points or create new artifacts.
- Note the timestamps the report flags and listen to them yourself on good headphones.
- If the file is AI-generated rather than edited, the AI voice detector is the more suitable check.
Limitations
What it can't tell you
This is an AI screening of how the audio sounds, not a forensic examination by a qualified expert, and the result is not court-admissible evidence or a legal determination. It does not perform the certified measurements examiners use, such as electrical network frequency matching, file-structure and metadata analysis, or documented chain-of-custody procedures. A clean result does not prove a file is authentic, and a flagged anomaly does not prove tampering, since dropouts, codecs and phone networks create similar artifacts. For legal proceedings, use an accredited forensic audio examiner.
Frequently Asked Questions
Audio Forensics questions
Can AI detect edited audio?
It can often hear the kinds of discontinuities that edits leave behind, such as a background noise floor that suddenly changes, a clipped breath or a reverb mismatch between two sentences. Careful edits on clean audio can be inaudible, though, so a lack of findings is not proof the file is untouched.
What does audio authentication involve?
Professional authentication combines critical listening, spectral analysis, file metadata and container checks, comparison with test recordings from the claimed device, and sometimes power-grid frequency matching. This tool covers the listening and signal-level observations and tells you when the fuller process is worth pursuing.
Can I use this report in court?
No. Courts expect testimony from a qualified examiner who follows documented methods. You can use the screening to understand the recording and to brief a lawyer or expert, but it is not a forensic finding.
Does it enhance or clean up the recording?
It does not change your file. It recommends enhancement steps, such as filtering a specific hum or reducing broadband noise, that an engineer or examiner could apply to a working copy while keeping the original intact.
Which file formats work best for audio tampering detection?
Uncompressed WAV straight from the recorder is ideal. Lossless formats come next. MP3, AAC and voice-note codecs still work, but compression removes detail, so the report will usually note lower confidence.
Who can run it?
Anyone with a paid LindaleAI plan. Each analysis spends credits from the monthly allowance described on the pricing page.
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Audio Forensics uses credits from a paid LindaleAI plan. See pricing