How to fix tinny audio in Audacity, step by step
In Audacity, the fix is one narrow cut with Filter Curve EQ, under Effect > EQ and Filters > Filter Curve EQ.
Older guides, including the first version of this one, point to Edit > Equalization. That menu no longer exists: current Audacity splits equalization into Filter Curve EQ and Graphic EQ. These steps follow the current Audacity manual.
1
Open your file
Launch Audacity, choose File > Open and pick the recording you want to fix.
2
Select the affected audio
Press Play, find the metallic section, then drag across it to select it. If the whole file rings, select everything with Ctrl+A on Windows or Cmd+A on Mac.
3
Open Filter Curve EQ
Go to Effect > EQ and Filters > Filter Curve EQ. The graph shows a flat line at 0 dB across the frequency range.
4
Add three control points
Click on the curve at roughly 7 kHz, 8 kHz and 9 kHz. The bright, tin-like ring most often lives in this band.
5
Pull the middle point down
Drag the 8 kHz point down to about -24 dB and leave the 7 and 9 kHz points near 0 dB, so the curve shows one narrow dip.
6
Preview and sweep
Click Preview. Still ringing? Slide the dip lower, because harsh edge also hides between 2 and 5 kHz, or widen it by moving the outer points apart. Use the smallest cut that kills the ring: deep, wide cuts dull the voice.
7
Apply, then treat leftover hiss
Click Apply. If a noise floor remains, open Effect > Noise Removal and Repair > Noise Reduction, select a second of silence and click Get Noise Profile, then select the whole track, reopen the effect and apply a gentle reduction of 6 to 12 dB.
8
Export a WAV
Choose File > Export Audio and save as WAV, so you do not re-compress the audio you just repaired.
Honest limitations: EQ removes the ringing frequencies, and any speech detail living there goes with them. It cannot rebuild audio destroyed by codec compression, and stacking heavy noise reduction on top brings the metallic artifacts straight back. For damaged voice recordings, the AI route below often wins.
Fix it with Adobe Podcast Enhance Speech, free
Enhance Speech does not filter your recording: it uses AI to rebuild the voice, which makes it the fastest fix for compressed, robotic call audio.
Go to podcast.adobe.com and sign in with a free Adobe account; you do not need a Creative Cloud subscription. Open Enhance Speech, upload your file, wait for it to process, then audition the result. Where the strength control is available, settings well below the maximum usually sound more natural than full strength, which can feel synthetic. Download the enhanced file when you are happy with it.
The free tier has daily and per-file limits, and a paid plan raises them; check the current limits on Adobe's site before you plan a big batch.
Honest limitations: it is built for speech only, so it mangles music, sound effects and singing. On audio that was already clean it can add a processed, slightly artificial sheen, and you get little control over what it changes. Always compare the output with the original before you commit.
Fix it with iZotope RX, the professional option
iZotope RX is the industry-standard audio repair suite in post-production, with a separate module for each kind of damage.
Open your file in the standalone RX Audio Editor and run Repair Assistant: its machine-learning analysis proposes a processing chain and lets you preview variations before anything is rendered. For manual control, chain the modules yourself: Voice De-noise for steady background noise, De-reverb for room ring, and De-click or De-crackle for short bursts of junk. In the higher tiers, Spectral De-noise learns and subtracts a constant metallic whine with far more precision than any EQ. Render the result and export a WAV.
Honest limitations: cost and a real learning curve. The entry tier leaves out several of the deeper repair tools that make RX worth the money, and no tier can reconstruct speech that a codec never transmitted. Buy it if you repair audio every week, not for one bad file.
Ten minutes of setup before you record saves an hour of repair afterwards.
- Mic technique: record 6 to 8 inches from the mic, slightly off-axis, with a pop filter. Never rely on a laptop's built-in mic for anything you will publish.
- Tame the room: soft surfaces absorb the reflections behind hollow, tinny sound, and a closet full of clothes beats an empty office. Our guide to capturing great audio covers the setup in detail.
- Gain staging: set input gain so your loudest speech peaks between -12 and -6 dB. Too hot clips, and too quiet forces you to boost noise later.
- Record lossless: capture WAV or FLAC, because a low-bitrate MP3 bakes compression artifacts in permanently.
- Capture room tone: record 10 seconds of silence at the start of every session. It is the noise profile every repair tool asks for, and here is why room tone matters.
- Never stack noise reduction: use one gentle pass at the end. Running Zoom's suppression, then your interface's gate, then Audacity's Noise Reduction is how clean recordings turn metallic.
Remove echo, hiss and clipping from audio
Echo, hiss and clipping often travel with metallic sound, and each one needs a different tool.
Remove echo and reverb from audio
Echo is your room arriving late, and EQ cannot remove it because the reflections sit at the same frequencies as the voice. The best fix is an AI de-reverb pass: Adobe Podcast Enhance Speech for free, speech only, or iZotope RX De-reverb for adjustable control. Audacity has no true de-reverb effect, so skip forum workarounds built on inverted copies. If you can record again, add soft surfaces and halve your distance to the mic: reverb that never reaches the mic needs no removal.
Remove hiss and background noise
Steady hiss, hum, fans and street rumble respond well to profile-based reduction. In Audacity, select a moment of silence, open Effect > Noise Removal and Repair > Noise Reduction and click Get Noise Profile, then apply 6 to 12 dB to the whole file. Keep it gentle, because over-reduction is the top cause of metallic audio. For messier noise, see our guides to removing background audio noise and removing background noise in videos.
Fix clipped audio
Clipping happens when input gain exceeds what the hardware can capture: waveform peaks flatten and speech turns crunchy. In Audacity, Effect > Noise Removal and Repair > Clip Fix rebuilds lightly flattened peaks, and its own amplitude setting lowers the selection first so the restored peaks have room. iZotope RX De-clip handles heavier damage. Severely clipped audio is permanently damaged, because the sound above the ceiling was never recorded, so leave 6 dB of headroom next session.
When the audio is beyond repair
If speech garbles into noise, whole syllables are missing or the warble runs through every word, record it again if you possibly can.
A 20-minute retake beats three hours of processing that still sounds processed. When you cannot record again, salvage what matters: repair only the quotes you need, and consider publishing a transcript instead of the audio.
Transcription is more forgiving than human ears. Sonix reaches 99% accuracy on clear audio with automated transcription, and mild tinniness or a thin mic barely dents that, because the speech frequencies recognition depends on survive. Heavy clipping, drowned-out voices and codec dropouts are what really hurt accuracy. If a person can follow every word, the transcript will usually be clean; for anything worse, budget a short proofread in the editor.
Transcribe your cleaned audio
Transcription accuracy tracks audio quality: the cleaner the file, the fewer corrections you make.
Once your audio is fixed, transcribing it with Sonix takes minutes:
1
Create a free account
Sign up and get 30 minutes of free transcription, no credit card required.
2
Upload your cleaned file
MP3, WAV and AIFF all work, so export straight from Audacity in the format you already use.
3
Pick the language
Sonix transcribes and translates in 54+ languages.
4
Transcribe and polish
Click Transcribe, then review the result in the browser editor with speaker labels, timestamps and search.
5
Export
Download the transcript as a Word document, a PDF or SRT subtitles.
Pay-as-you-go transcription is $10 per audio hour and subscriptions start at $25 a month; see pricing. Still deciding whether transcription is worth it? Here is why you should transcribe, and our guide to making voices sound better for free pairs well with this one.