Àtòjọ-ẹ̀yàn

Ṣàfikún ékò àti ààyè-iṣẹ́ ààyè-iṣẹ́ láti inú àwọn ìṣàfihàn àwòrán láti inú AI. Gba àwòrán ìṣàfihàn-ìṣàfihàn láti inú àwọn ààyè-iṣẹ́ ìṣàfihàn, àwọn ile-iṣẹ́, àti àwọn ààyè-iṣẹ́ tí a kò lò.

Ṣàfihàn

Fi àwòrán pamọ́ láti inú Ékò

2 credits per minute

Gbé àwọn fáìlì rẹ̀ lọ́wọ́lọ́wọ́ síbẹ̀, tàbí Wáròyìn

Supports MP3, WAV, FLAC, OGG, M4A. Max 50MB. Up to 30 minutes.

— tàbí àwòrán láti inú máikófún rẹ̀ —

00:00

Echo Removal Settings

Ìjánu-ìṣàmúlò-ètò Ìṣàmúlò-ètò Medium

Ìwọ̀n Àwọn Ìṣàmúlò-ètò Òjú́-ìwé

Tí a bá fi àwọn ìṣàmúlò-ètò pamọ́ tí a bá fi àwọn ìṣàfihàn inú àwọn ààyè-iṣẹ́ pamọ́ nígbà tí a bá fi àwọn ìṣàfihàn inú àwọn ààyè-iṣẹ́ pamọ́. Àwọn ìṣàfihàn fún àwọn ìṣàfihàn fún àwọn ìṣàfihàn fún àwọn ìṣàfihàn.

Fi àwọn àwòrán pamọ́ Fi àwòrán pamọ́ lórí àwòrán àti àwọn ìṣàmúlò-ètò ìṣàmúlò-ètò àti àwọn ìṣàmúlò-ètò ìṣàfihàn.

Ṣàfikún Àwọn Ìjánú Ààyè-iṣẹ́ Ló àwọn ìkúndùn àìdájú ààyè-iṣẹ́ ní pàtó àwọn ìṣàfilọ́lẹ̀ àìdájú àìdájú. Lójútó fún àwọn ìṣàfilọ́lẹ̀ tí ní àwọn ààyè-iṣẹ́ àìdájú àti àìdájú ààyè-iṣẹ́.

Àwọn àwọn ìṣàmúlò-ètò

Fi fáìlì àwòrán pamọ́ láti ṣàfihàn àwọn ààyè-iṣẹ́ ààyè-iṣẹ́. AI náà láti ṣàfihàn ìwọ̀n ààyè-iṣẹ́ àti àwọn ààyè-iṣẹ́ ìṣàfarawé àwọn àtòjọ-ẹ̀yàn ìjánu-ìṣàmúlò-ètò ìjánu-ìṣàmúlò-ètò ní pàtó.

Ìgúnrégé Àwọn Àtòjọ-ẹ̀yàn

Àwọn ìṣàmúlò-ètò ìṣàmúlò-ètò ìṣàfarawé kọ̀ǹpútà tó lè wa

Àkọ́kọ́ Tí A Fi Pàdé

Àwọn ààyè-iṣẹ́

Àwọn àyọkà ìsàlẹ̀-ilà

Àwọn ìṣàmúlò-ètò -18 dB

Ìwọ̀n ààyè-iṣẹ́ Medium

Àwọn àgbékalẹ̀ 0.8s → 0.1s

Ìyàn Ìṣàmúlò-ètò 4.1s

Ṣàfikún Àwọn Àmì-ìwé

Ékò láti ààyè-iṣẹ́:

Àwọn ìṣàfarawégbèsì

Àkọ́kọ́ ní ìṣàfilọ́lẹ̀ ìṣàfarawe-ọ̀rọ̀ kan tí a ti pẹ́. O lè gbọ́ ìṣàfilọ́lẹ̀ ìṣàfarawe-ọ̀rọ̀ orílẹ̀ẹ̀yìn, àti ìṣàfilọ́lẹ̀ tí a lè gbọ́ láti inú ìṣàfilọ́lẹ̀ tó kéré (bí a tí jẹ́ 50ms+). A lò nínú àwọn ilé nlà, àwọn ẹnu-ọ̀nà, àwọn ẹnu-ọ̀nà, àti àwọn ààyè-iṣẹ́ mìíràn. Ìṣàfilọ́lẹ̀ náà ní igba pípẹ jú tí o lè ró pé o jẹ́ àkọ́kọ̀ọ̀kan ìṣàfilọ́lẹ̀ ìṣàfilọ́lẹ̀ ìṣàfilọ́lẹ̀ ìṣàfilọ́lẹ̀.

Àwọn àyọkà ìṣàfarawé

Àwọn ìṣàfilọ́lẹ̀ jẹ́ àwọn ìṣàfilọ́lẹ̀ tí a ti pọ̀ ní pàpọ̀, tí a fi kọ́ àwọn ààyè-iṣẹ́ inú ilè. Àwọn ìṣàfilọ́lẹ̀ ní pàpọ̀ jú (òkè jú 50ms lọ) tí o bà gbọ́ wọn ní bí àwọn ìṣàfilọ́lẹ̀ lọ́wọ́lọ́wọ́ lọ́wọ́lọ́wọ́ lọ́wọ́lọ́wọ́. Fún àwọn ààyè-iṣẹ́ ìṣàfilọ́lẹ̀, gbiyanju

Àwọn Ìṣàmúlò-ètò fún Àwọn Àtòjọ-ẹ̀yàn

Ṣẹ̀dà láti inú

Fún àwọn ìṣàmúlò-ètò láti ní àwọn ìṣàmúlò-ètò àti àgbéwọlé, fi àwọn

Àtòjọ-ẹ̀yàn tí o lagbará jú (4-5) tí o dara jù fún

Fún ààyè-iṣẹ́ ààyè-iṣẹ́ ààyè-iṣẹ́, gbiyanju

Àwọn Ìgúnrégé Tí A Fẹ̀

Àwọn Ìgúnrégé Àwọn Ìṣàmúlò-ètò Àwọn Àtòjọ-ẹ̀yàn

MP3

WAV

FLAC

OGG

M4A

Ìwọ̀n fáìlì tí o jú lọ: 50MB | Ìgbá tí o jú lọ: àwọn iṣẹ́jú 30

Bí Àwọn Ìjánu-ìṣàmúlò-ètò Ìjánu-ìṣàmúlò-ètò AI ṣé n ṣiṣẹ́

Àtòjọ-ẹ̀yàn neural wa náà ṣàyẹwo àwọn àbùdá acousticù tí ẹ̀yàn rẹ̀ jẹ́, ṣàfihàn àwọn ìṣàfilọ́lẹ̀ ékò, àti àwọn ìṣàfilọ́lẹ̀ àwọn àwòrán nígbà tí a bá tọju àwòrán àìtọ́.

Àkóónú 1

Fi Ojú-ẹ̀yàn Rẹ̀ Hàn

Drag and drop your echoey audio file or browse to select it. We accept MP3, WAV, FLAC, OGG, and M4A formats up to 50MB. The AI immediately analyzes the room acoustics and estimates the echo characteristics including room size and decay time (RT60).

Àkóónú 2

Àwọn Ìṣàmúlò-ètò

Àwọn ìṣàfilọ́lẹ̀ ìṣàfilọ́lẹ̀ pẹ̀lú́ ìṣàfilọ́lẹ̀ ìṣàfilọ́lẹ̀ ìṣàfilọ́lẹ̀ ìṣàfilọ́lẹ̀ ìṣàfilọ́lẹ̀ ìṣàfilọ́lẹ̀ ìṣàfilọ́lẹ̀ ìṣàfilọ́lẹ̀ ìṣàfilọ́lẹ̀ ìṣàfilọ́lẹ̀ ìṣàfilọ́lẹ̀ ìṣàfilọ́lẹ̀

Àkóónú kẹtà

_Ṣàfikún

Ló àwòrán-ìgbá tí o tí wa nígbá tí o tí wa nígbá tí o tí wa nígbá tí o bá gbọ́ ìyatọ náà. Wó àwọn ààyè-ìṣàmúlò-ètò àti àwọn ààyè-ìṣàmúlò-ètò àti àwọn ààyè-ìṣàmúlò-ètò RT60. Ṣàfihàn nínú ìṣàmúlò-ètò MP3, WAV, tàbí FLAC. Kò fẹ́? Ṣàfikún ìwọ̀n náà àti ìṣàfihàn-ìgbà nípa ìfẹ́fẹ́.

Echo Remover Use Cases

Ẹ̀yìn ní ọkan ninu àwọn ààyè-iṣẹ́ àwòrán tí a ló jú lọ, tí o bá àwọn àkọsílẹ̀ tí a ṣe nínú àwọn ààyè-iṣẹ́ tí kò ní ìṣàmúlò-ètò acoustici tí o tọ́. Ẹ̀yà ìṣàmúlò-ètò ẹ̀yìn AI wa ní pàtó rẹ̀ nígbà kan.

Ìṣàmúlò-ètò

Àwọn podcasters kéré nínú àwọn ile-iṣẹ́, àwọn ile-ìyẹ̀wò, tàbí nínú àwọn ile-ìjádé tí kò ní acoustic treatment. Àwọn ile-ìjádé kéré nínú ile-ìjádé kéré nínú microphone recordings. AI wa nínú ile-ìjádé kéré nínú lè yọ àwọn ìṣàfilọ́lẹ̀ inú ile-ìjádé rẹ̀ lọ́wọ́lọ́wọ́ lọ́wọ́lọ́wọ́ lọ́wọ́lọ́wọ́ lọ́wọ́lọ́wọ́.

Àwọn Àkọsílẹ̀ Àwọn Àkọsílẹ̀

Ṣẹ̀dà àwọn àkọsílẹ̀ Zoom, Google Meet, Microsoft Teams, àti àwọn awáròyìn àkọsílẹ̀ vidéò mìíràn. Àwọn ile-ẹ̀yàn àkọsílẹ̀, àwọn ile-iṣẹ́ mìíràn, àti àwọn ààyè-iṣẹ́ ile-iṣẹ́ nígbàyàn sáà àwọn àkọsílẹ̀ náà. Ṣẹ̀dà àwọn àkọsílẹ̀ náà àti ìṣàfilọ́lẹ̀ àwọn àkọsílẹ̀ àwọn àkọsílẹ̀ àwọn àwọn ẹgbẹ́ rẹ.

Àwọn Àkọsílẹ̀ Àkọsílẹ̀

Àwọn àgbékalẹ̀ ààyè-iṣẹ́ nígbàyàn nínú àwọn ààyè-iṣẹ́ echoey bí lobbies, atriums, hallways, tàbí àwọn ààyè-iṣẹ́ inú nínú àwọn pàlìtì nínú ààyè-iṣẹ́. Ṣàfikún echo láti mú gbogbo àwọn àmì-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ìwé-ì

Àwọn Àkọsílẹ̀ Ààyè-iṣẹ́

Àwọn ohunkohun tí a ya nínú àwọn ààyè-iṣẹ́ tí ní àwọn ojú-ìṣàmúlò-ètò tí wọ́n jẹ́ pẹ̀lú àwọn ààyè-iṣẹ́ tí wọ́n jẹ́ pẹ̀lú àwọn ààyè-iṣẹ́ tí wọ́n jẹ́ pẹ̀lú àwọn ààyè-iṣẹ́ tí wọ́n jẹ́ pẹ̀lú àwọn ààyè-iṣẹ́ tí wọ́n jẹ́ pẹ̀lú àwọn ààyè-iṣẹ́.

Àwọn Ìṣàfilọ́lẹ̀

Àwọn ile-iwe, àwọn ile-iwe, àti àwọn ile-iwe nla ní a mọ̀ fun àwọn ẹ̀yìn. Àwọn àkọsílẹ̀ àwọn àkọsílẹ̀, àwọn ìṣàfihàn, àti àwọn àkọsílẹ̀ kejì nígbàyàn nígbàyàn nígbàyàn nígbàyàn nígbàyàn nígbàyàn nígbàyàn nígbàyàn nígbàyàn nígbàyàn nígbàyàn nígbàyàn nígbàyàn nígbàyàn.

Àwọn àkọlé àwòrán

Ṣẹ̀dà àwọn àkọlé àwòrán tí a ṣè láti inú àwọn ààyè-iṣẹ́ tí kò ní ìṣàmúlò-ètò tí a fẹ́. Ṣẹ̀dà àwọn àwọn ìṣàmúlò-ètò inú àwọn àkọlé àwòrán, àwọn sáà ìṣàmúlò-ètò, àwọn àkọlé àwòrán, àwọn àwọn àkọlé àwòrán tí a gba nínú àwọn àwọn ààyè-iṣẹ́ tí a kò fi àwọn àwòrán pamọ́. Ṣẹ̀dà àwọn àwòrán tí kò ní ìṣàmúlò-ètò, àwọn àwòrán tí kò ní ìṣàmúlò-ètò nínú àwọn ààyè-iṣẹ́.

Fọ́tìnì & Agbègbègbè

Àwon àgbékalẹ̀ kọ̀ǹpútà nínú àwọn àwọn ààyè-iṣẹ́ tí a gbọ́ nínú àwọn ààyè-iṣẹ́ kọ̀ǹpútà kọ̀ǹpútà kọ̀ǹpútà kọ̀ǹpútà kọ̀ǹpútà kọ̀ǹpútà kọ̀ǹpútà kọ̀ǹpútà kọ̀ǹpútà kọ̀ǹpútà kọ̀ǹpútà kọ̀ǹpútà kọ̀ǹpútà kọ̀ǹpútà kọ̀ǹpútà kọ̀ǹpútà kọ̀ǹpútà kọ̀ǹpútà kọ̀ǹpútà kọ̀ǹpútà kọ̀ǹpútà kọ̀ǹpútà

Àwọn Ìṣàmúlò-ètò Kọ̀ǹpútà

Ṣàfikún àwòrán ààyè-iṣẹ́ tí a kò fẹ̀ láti inú àwọn àkọsílẹ̀ àwọn ìṣàmúlò-ètò àti àwọn ìṣàmúlò-ètò àwọn orin tí a gba nínú àwọn àwọn ààyè-iṣẹ́ tí a kò lò. Ṣàfikún àwọn àkọsílẹ̀ láti inú àwọn àwọn ìṣàmúlò-ètò láti mú àwọn ìṣàmúlò-ètò àwọn ìṣàmúlò-ètò rẹ̀ lọ́wọ́lọ́wọ́ lọ́wọ́lọ́wọ́ lórí àwọn àbùdá àwọn àbùdá àwọn ìṣàmúlò-ètò.

Àwọn Ìṣàmúlò-ètò Ìjánu-ìṣàmúlò-ètò

Àwọn ààyè-iṣẹ́ ààyè-iṣẹ́

Our AI does not just apply a generic filter. It first analyzes the acoustic signature of your recording to estimate the room size, reflection delay time (RT60), and echo density. This analysis allows the model to construct a precise inverse filter tailored to your specific recording environment, resulting in cleaner removal with fewer artifacts than one-size-fits-all approaches.

Àwọn Ìṣàmúlò-ètò Ìṣàfilọ́lẹ̀

Aggressive echo removal can sometimes damage the natural quality of the voice, making it sound thin, metallic, or robotic. Our voice preservation technology monitors the spectral characteristics of the direct sound throughout the echo removal process, ensuring that the voice retains its warmth, body, and natural timbre even at the highest removal settings.

Àwọn Ìṣàmúlò-ètò GPU

Tí a bá fẹ́ fi àwọn ìṣàfilọ́lẹ̀ ìṣàfilọ́lẹ̀ pẹ̀lú àwọn ìṣàfilọ́lẹ̀ ìṣàfilọ́lẹ̀ pẹ̀lú àwọn ìṣàfilọ́lẹ̀ pẹ̀lú àwọn ìṣàfilọ́lẹ̀ pẹ̀lú àwọn ìṣàfilọ́lẹ̀ pẹ̀lú àwọn ìṣàfilọ́lẹ̀ pẹ̀lú àwọn ìṣàfilọ́lẹ̀ pẹ̀lú àwọn ìṣàfilọ́lẹ̀ pẹ̀lú àwọn ìṣàfilọ́lẹ̀ pẹ̀lú àwọn ìṣàfilọ́lẹ̀.

Àwọn Àtòjọ-ẹ̀yàn

Gbogbo àwọn fáìlì tí a ṣé ìṣàmúlò-ètò lọ́wọ́lọ́wọ́ ní pàtó àwọn ìṣàmúlò-ètò tí a sọ̀rọ̀ nínú àwọn decibels, àwọn fálù RT60 ìṣàmúlò-ètò àti ìṣàmúlò-ètò, àti àwọn ìwọ̀n ààyè-iṣẹ́ tí a sọ̀rọ̀. Àwọn ìṣàmúlò-ètò yìí náà náà náà náà náà náà náà náà náà.

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Àwọn Àtòjọ-ẹ̀yàn

AI echo removal uses neural networks to identify and remove echoes and reverberation from audio recordings. It analyzes the room characteristics encoded in the audio and reconstructs the dry (echo-free) signal while preserving the original voice quality.

Use echo removal for recordings made in large rooms, hallways, or spaces with hard surfaces. It's also useful for cleaning up conference call recordings, podcast recordings with poor acoustics, or any audio with unwanted reverberation.

We accept MP3, WAV, OGG, FLAC, M4A, and WEBM files up to 50MB. Output is provided in WAV format for maximum quality. You can convert to other formats using our Audio Converter tool.

Processing typically takes 10-30 seconds for a 5-minute audio file. Longer recordings or files with severe echo may take up to a minute. The enhanced audio plays back instantly in your browser once processing is complete.

The AI handles mild to moderate echo very effectively, producing clean results. Severe echo (long delay times, multiple reflections) can also be reduced significantly, though some residual artifacts may remain in extreme cases.

Yes, the processed audio plays back directly in your browser after enhancement. Compare the original and enhanced versions to ensure the result meets your needs before downloading.

Batch processing is available via our API for automated workflows. The web interface processes one file at a time with instant preview and download. This is ideal for cleaning up multiple meeting recordings or podcast episodes.

Echo removal uses 2 credits per file processed. Free accounts receive 50 credits on signup. The tool is included in all paid plans with generous monthly credit allowances.

Absolutely. Podcast recordings made without professional acoustic treatment often have room echo. Our tool removes this echo, giving your podcast a cleaner, more professional sound without needing to re-record.

Yes, conference calls often suffer from echo caused by speaker feedback and room acoustics. The echo remover cleans up these recordings for better transcription accuracy, archive quality, and listener experience.

Echo involves distinct, delayed repetitions of sound (like shouting in a canyon), while reverb is a smooth blend of many reflections (like speaking in a cathedral). Our Echo Remover targets discrete echoes, while the Reverb Remover handles diffuse room ambiance.

AI náà tí a kọ̀ láti dá àwọn àbùdá àwòrán ààyè-ẹ̀yàn ààyè-ẹ̀yàn pẹ̀lú ìjánu-ìṣàmúlò-ẹ̀yàn. Nínú àwọn ààyè ààyè-ẹ̀yàn, àwòrán náà náà jẹ́ ìwọ̀n àti ìṣàmúlò-ètò. Ìjánu-ẹ̀yàn ìjánu-ìṣàmúlò-ẹ̀yàn tí o jẹ́ pẹ̀lú ìjánu-ìṣàmúlò-ẹ̀yàn nìkan ní lè fi àwọn ẹ̀yàn ààyè-ẹ̀yàn pẹ̀lú ìṣàmúlò-ẹ̀yàn pamọ́.

5.0/5 (1)

Ṣàfikún Ékò láti inú àwòrán Rẹ́

Gba àwòrán ìṣàfihàn-ìdáràn láti inú àwọn ààyè-iṣẹ́ ìṣàfihàn. Ṣàfihàn ọ̀fẹ́ ki o si gba àwọn kọ́rẹ́dì 50. Àwọn ìjánu-ìṣàfihàn ìṣàfihàn ààyè-iṣẹ́ jẹ́ láti wa nípa ìṣàfihàn kọ̀ǹpútà.

Ṣàfihàn Wó Àwọn Ìtàn

Àtòjọ-ẹ̀yàn

Fi àwòrán pamọ́ láti inú Ékò

Echo Removal Settings

Àwọn àwọn ìṣàmúlò-ètò

Àwọn ààyè-iṣẹ́

Àwọn àyọkà ìsàlẹ̀-ilà

Ékò láti ààyè-iṣẹ́:

Àwọn ìṣàfarawégbèsì

Àwọn àyọkà ìṣàfarawé

Àwọn Ìṣàmúlò-ètò fún Àwọn Àtòjọ-ẹ̀yàn

Àwọn Ìgúnrégé Tí A Fẹ̀

Bí Àwọn Ìjánu-ìṣàmúlò-ètò Ìjánu-ìṣàmúlò-ètò AI ṣé n ṣiṣẹ́

Fi Ojú-ẹ̀yàn Rẹ̀ Hàn

Àwọn Ìṣàmúlò-ètò

_Ṣàfikún

Echo Remover Use Cases

Ìṣàmúlò-ètò

Àwọn Àkọsílẹ̀ Àwọn Àkọsílẹ̀

Àwọn Àkọsílẹ̀ Àkọsílẹ̀

Àwọn Àkọsílẹ̀ Ààyè-iṣẹ́

Àwọn Ìṣàfilọ́lẹ̀

Àwọn àkọlé àwòrán

Fọ́tìnì & Agbègbègbè

Àwọn Ìṣàmúlò-ètò Kọ̀ǹpútà

Àwọn Ìṣàmúlò-ètò Ìjánu-ìṣàmúlò-ètò

Àwọn ààyè-iṣẹ́ ààyè-iṣẹ́

Àwọn Ìṣàmúlò-ètò Ìṣàfilọ́lẹ̀

Àwọn Ìṣàmúlò-ètò GPU

Àwọn Àtòjọ-ẹ̀yàn

Àwọn Àtòjọ-ẹ̀yàn

How does AI echo removal work?

When should I use echo removal?

What audio formats does the echo remover support?

How long does echo removal take?

How much echo can the tool handle?

Can I preview the result before downloading?

Can I process multiple files at once?

How much does echo removal cost?

Can I use it to clean up podcast recordings?

Does it work for conference call recordings?

What is the difference between echo and reverb removal?

Àwọn ìṣàmúlò-ètò ìṣàmúlò-ètò ìṣàmúlò-ètò

Ṣàfikún Ékò láti inú àwòrán Rẹ́