Comparison

EasilyAI vs ElevenLabs

ElevenLabs builds voices better than we do. Here is the case for choosing EasilyAI anyway: a professional editor, stage-by-stage approval before credits are spent, and the audio engineering a finished master needs.

Checked August 2026. Competitor pricing and features change often — figures below are taken from ElevenLabs' published pricing page on that date. Verify current terms before deciding.

ElevenLabs builds voices better than we do. That is the honest starting point of this page, and everything below assumes you already know it.

What follows is the case for choosing EasilyAI anyway — not because the synthesis is better, but because a dubbed video is made of more than synthesis, and the rest of it is where projects actually lose time and money.

Where their synthesis wins, and where it does not

Being specific about this matters more than winning the paragraph:

So: if what you are buying is a voice, and only a voice, buy theirs. If what you are buying is a finished video in several markets, the voice is one input among six, and the other five are what this page is about.

A professional editor around the voice

The reason a Standard voice is enough for most work is that it does not arrive alone. It arrives inside an editor built for post-production rather than a form with a Generate button:

Two view modes — one for creators, one for post teams, with the Professional layout in two arrangements. Three panels held in context: segments where the text lives, video playback to sync against in real time, and a timeline to place every line visually. Add segments, reassign dialogue, split lines, create characters. Fix a mistranslated word without regenerating the track.

Overlapping speech stays overlapping. Two people talking over each other remain two separate lines with overlapping timecodes and their own voices, each held inside its own duration so it is neither clipped short nor left running over the next. Interviews, panels and cross-talk survive the dub instead of being flattened into a queue.

Bring the script as a spreadsheet. Import a translated script as a CSV and the whole thing lands on the timeline already segmented — and it drops the dub from 25 credits a minute to 10, because you did that part of the work.

You approve each stage before it spends your credits

This is the part no per-minute rate on either pricing page will show you, and over a real project it is worth more than the rate itself.

EasilyAI stops between stages. After transcription, you see the segments — the text, the speakers, the timecodes — and you correct them there, while correcting them is free. Only then does translation run, on a transcript you have already approved.

The translation stops the same way. You read it, fix the line where a product name became a common noun or a technical term went literal, and only then does the platform spend credits generating audio.

The alternative is the usual one, and everyone who has dubbed a video knows it: generate all three stages, listen, find a mistake that started in the transcript, propagated into the translation and hardened into the voice — and pay to generate all three again. The error was free to fix at step one and expensive at step three.

Regenerations are the real cost of dubbing, not the headline rate. A platform that lets you catch an error before it has been paid for twice is cheaper than a platform with a lower number and no checkpoints.

The audio engineering after the voice exists

A voice file is not a deliverable. What sits between the two is engineering, and it is the clearest gap between the two products.

Masters that pass QC. Every export is mixed to the standard the destination expects — YouTube 24-bit and 16-bit, Apple TV+, Netflix, Disney+, Paramount+, Amazon PV, cinema — with integrated loudness in LUFS and a true-peak ceiling set per platform, not a normalisation pass bolted on at the end. Nothing to reopen in Pro Tools, Audition or Resolve to fix levels that should never have needed fixing, and no dubbed track that lands quieter than the original when a viewer switches audio tracks.

Your score, intact. Upload music and effects stems separately and the platform mixes them into the dub. A publish-ready export, not a bare voice track waiting for a round trip through another tool.

Timecodes locked across every stage. The dub lands on the same frames as the original and stays there through exports and language switches.

Subtitles out of the same timeline. Every project exports an SRT alongside the audio, built to professional subtitling parameters rather than dumped from the transcript — reading speed, line length and duration inside the limits a subtitler works to, off the same locked timeline as the dub.

Review without exporting. A shareable link per draft: reviewers hear the dub, read the translation, and leave notes on the exact timestamp. Approved changes land in the editor. Fifteen collaborators on one account, no per-seat charge.

Accents, not just languages

ElevenLabs offers multilingual models. What it does not publish is an accent breakdown — which regional variants exist inside each language. EasilyAI does, and the depth is the argument:

Across the library that is 80+ languages with a dedicated voice, each in two tiers. The full index lists them. A Colombian viewer knows within three seconds whether a dub was made for them or merely translated into their language — the case-study data shows what that costs in watch time.

One pass, one balance, one timeline

ElevenLabs charges Speech to Text separately at roughly 330 credits per minute, and dubbing through a separate Dubbing Studio. EasilyAI runs transcription, translation and dubbing as one pass on one file, from one credit balance:

Spend the balance on transcription today and dubbing next week. The pipeline breakdown shows where each credit goes.

Where ElevenLabs is the better answer

Raw synthesis at the edges. Heavy emotional range, breath and hesitation, a line whose punctuation fights the delivery. It is the reference the industry measures itself against, and it earned that.

The API. If you are embedding voice generation inside your own product, their developer surface is more mature. EasilyAI has no public API.

Low-volume text to speech. A few minutes of synthetic narration a month, read from a script you already have. Their entry tiers do that for very little, and EasilyAI is not built for it.

A word on the headline prices

Their published plans start free, then $6, then $11 a month, against EasilyAI's $50 — or $10 in credits with no plan at all. Those numbers are not the cost of dubbing a video, though.

Large credit allowances are easy to misread. The Creator plan advertises 121,000 credits, and Speech to Text is charged at roughly 330 credits per minute — so the allowance covers about 367 minutes of transcription a month, before you dub anything. On the $99 Pro plan it is around 1,818 minutes, again transcription only.

That is not a criticism of their pricing; it is a reminder that credit systems are not comparable until you work out what each one buys. Before choosing on price, work out what one finished minute costs on each platform — and add the regenerations you expect, which is the number the checkpoints above are designed to shrink.

Trying it without buying a plan

The $50 entry plan is not the only way in. Credits can be topped up from $10, with no subscription at all — enough to dub a short video, hear how the accent lands in your market, and judge the result before committing to anything.

And every plan is monthly. What is missing is the string usually attached to the discount: on most platforms the good rate is reserved for whoever pays a year up front, and leaving early costs you it. EasilyAI puts that rate on the monthly plan. No year signed, no penalty for stopping — if a quarter goes quiet you stop paying for it, and the price you come back to is the one you left.

Who each one is for

First, a correction to how this comparison is usually framed: ElevenLabs does dub video. Dubbing Studio has been there for a long time, and automatic dubbing covers 90+ languages. The difference is not that one platform dubs and the other does not.

The difference is what you give up in order to edit. By ElevenLabs' own documentation, Dubbing Studio — the one with granular control over the result — is in maintenance mode, receiving critical bug fixes only, and runs the older v1 model. The current v2 model produces dubs automatically, with no option to edit the content.

So the choice on that side is between the newest synthesis with nothing you can correct, and a granular editor built on the previous generation. EasilyAI does not ask for that trade: current voices and full line-by-line editing in the same place, with the stage checkpoints above deciding what gets generated at all.

And the two halves do not carry the same language list. The 90+ figure belongs to Dubbing v2 — the automatic model, the one with nothing to edit. Dubbing Studio, the editable one, runs the older v1 stack against a considerably shorter list; it is widely reported as 29 languages, and ElevenLabs does not publish the two lists side by side. Worth checking your language in the editor itself before committing, rather than reading the headline number.

That is the shape of it: the languages and the editability are not in the same place. The further down the list your market sits, the more likely the only option is a dub you cannot correct. On EasilyAI every one of the 80+ languages arrives inside the same editor, on the same terms.

ElevenLabs fits when the voice itself is the deliverable — audiobooks, podcasts, game voiceover — when you need a voice engine inside your own software through the API, or when a dub generated automatically is one you are content to publish as it comes.

EasilyAI fits when the deliverable is a finished video in several markets: a team reviewing it before it ships, the accent right for the country rather than merely correct for the language, cross-talk intact, the score mixed back in, a master that meets spec — and a pipeline that lets you catch a mistake before you have paid to generate it three times.

Side by side

 EasilyAIElevenLabs
Built aroundLocalization pipelineVoice synthesis
Raw voice synthesisDeluxe and cloning comparable; Standard belowThe reference
Approve each stage before it spends creditsYes — transcript, then translation, then audioNot published
Cheapest way in$10 credit top-up, no plan neededFree tier, then $6/mo
Cheapest monthly plan$50/mo$6/mo
ContractNone — cancel any timeMonthly or annual
Best rate requires an annual commitmentNo — it is the monthly rateDiscount tied to annual billing
Languages you can dub into80+ with a dedicated voice, two tiers90+ on the automatic model
Languages you can dub into and editAll 80+The shorter Dubbing Studio list, reported as 29
Edit the dub on the current modelYesEditor is on the legacy model; v2 dubs are not editable
Published accent breakdown per languageYes — 9 Spanish, 13 Arabic, 13 EnglishNot published
Transcription + translation + dub in one passYes, one balanceSeparate products
Voice cloningYes, +8 cr/minYes
Timecode-locked professional editorYesDubbing Studio
Cheapest access to the editor$10A paid plan
Import a translated script as a CSVYes — and it halves the credit costNot published
Overlapping speech kept as separate linesYesNot published
SRT export to professional subtitling parametersYesNot published
M&E stem upload and mixYesNot published
Loudness mastering per platform8 standards, LUFS and true peakNot available
Timestamped review linksYesNo
Seats included15By plan
Public APINoYes

If you are localizing a channel, the YouTube dubbing guide covers what multi-language audio does to watch time.

Run the whole pipeline in one session.

Transcription, translation and dubbing on a single timeline, with one credit balance across all of them.

Get Started