EasilyAI vs DittoDub

Checked August 2026. Figures below are taken from DittoDub's own published pricing and product pages on that date. Terms change often — verify before deciding.

DittoDub is built for YouTube, and it shows. A sync extension pushes dubs straight to the channel, custom vocabulary keeps names and brand terms consistent between uploads, titles and descriptions are translated from the entry plan, and on the higher tiers so is the text on your thumbnails. If your entire operation is a YouTube channel, that is a well-aimed product and this page will say so more than once.

EasilyAI is aimed a step further down the pipeline: the dub itself, and everything a finished master needs before it is worth publishing anywhere. The two overlap in the middle, and the question is which half of the problem is actually costing you.

The first month is $1. Price the second one.

DittoDub's Pre plan is $1 for the first month and $48 after it, for 30 minutes of translation. Primer is $97, then $194, for two hours. Performance is $194, then $292, for three. Going past the allowance carries a 62% premium on the plan rate.

Work the standing prices through and every tier lands in the same place: roughly $1.60 for a finished minute, and meaningfully more than that on any minute past the allowance.

EasilyAI's $50 plan carries 1,135 credits. AI Dubbing Standard costs 25 credits a minute from a raw file, which is about 45 minutes, or close to $1.10 a minute — and 10 credits a minute if you supply the transcript and translation, which halves it again. Overages are simply the ordinary credit rate. There is no premium tier of your own money.

And you do not need the plan to start: credits can be topped up from $10, with no subscription, which is enough to dub a video and hear how it lands before deciding anything.

Where the YouTube features actually sit

The entry plan is more generous than it first looks: $48 a month gets the dubbing editor, subtitle files, custom vocabulary, the YouTube sync extension and metadata translation. That is a real set of tools for a channel starting out.

Thumbnail translation is not on it. That arrives at Primer, along with strategy and support — $97 for the first month and $194 a month after it. So the localized titles and descriptions come cheap; the localized artwork is four times the price.

EasilyAI does not translate YouTube metadata or thumbnails at all, and will not pretend otherwise. What it does is make the audio worth staying for — which is the other half of the same problem. Metadata gets the click. The dub decides whether the viewer is still there in ninety seconds.

62 languages against 80+, and the part underneath the count

DittoDub publishes 62 languages. EasilyAI documents 80+ languages with a dedicated voice, each shipping in two tiers: Standard for the accent most projects need, Deluxe for city and region level.

The count is the smaller half of that. What sits underneath it:

• Spanish — nine accents: Mexican, Colombian, Castilian, Argentine (Rioplatense), Chilean, Peruvian, Venezuelan, US Spanish, Ecuadorian. Not one "Latin American Spanish" for 400 million people.
• Arabic — thirteen dialects, from Egyptian and Levantine through to Omani, Palestinian and Iraqi.
• English — American, British, Indian, Australian, Canadian, Nigerian and South African, plus Scottish, Welsh, Yorkshire, Geordie, Scouse and Cockney on Deluxe.
• Portuguese, French, German, Polish, Mandarin — each broken out the same way. The full index lists every one.

For a YouTube channel this is not a detail. A Colombian viewer knows within about three seconds whether a video was dubbed for them or merely translated into their language, and the retention curve knows it too — the case-study data covers what that does to watch time. Multi-language audio tracks reward getting the accent right in a way subtitles never did.

What happens after the dub exists

DittoDub includes a dubbing editor on every plan, which is more than several competitors manage. EasilyAI's is built for the case where the video is not one person talking cleanly to a camera:

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 line. Podcast cross-talk, panels, reaction videos and interviews survive the dub instead of being flattened into a queue of one line after another.

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

Your music and effects, intact. Upload the stems separately and the platform mixes them into the dub, so the intro sting, the bed and the sound design survive into the localized version rather than being replaced by a bare voice track.

Masters that meet spec. 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 not have needed fixing, and no dubbed track that lands quieter than the original when the viewer switches audio tracks.

Approve each stage before it spends your credits. The pipeline stops between stages. After transcription you review the segments — text, speakers, timecodes — and correct them while correcting them is free; only then does translation run, on a transcript you approved. The translation stops the same way, before a single credit goes on audio. Without those checkpoints an error in the transcript propagates into the translation, hardens into the voice, and all three have to be generated again — which on a plan with a 62% premium for extra minutes is an expensive way to find a typo. Regenerations are the real cost of dubbing, not the headline rate.

Subtitles you can upload as they are. Every project exports an SRT alongside the audio, built to professional subtitling parameters rather than dumped straight out of the transcript — reading speed, line length and duration held within the limits a subtitler would work to, and timed against the same locked timeline as the dub. Upload it to the video and the captions match what the viewer is hearing, in the same language, without a pass through a subtitle editor first.

Review without exporting. Every draft gets a shareable link: a native speaker listens and reads the translation in the browser, leaves notes against the exact timestamp, and the approved change appears in the editor. Fifteen collaborators on the account, no per-seat charge.

No cap on video length, on any plan. A two-hour podcast episode goes through as one file.

Where DittoDub is the better answer

Three cases, and pretending otherwise would waste your time:

You want publishing handled. The YouTube sync extension pushes finished dubs to the channel. EasilyAI gives you a file and you upload it yourself.

You want the metadata localized too. Titles and descriptions translated in the same place as the audio, from the entry plan, and thumbnail text from Primer. EasilyAI does none of that.

You want it done for you. DittoStudios is a human-verified, done-for-you service. EasilyAI is a platform you operate; the person reviewing the script is you, or someone you send a review link to.

Which one fits

If you are willing to pay the higher rate to have the whole surface handled in one place, take it. That is a legitimate way to buy. At $194 a month standing, Primer is a service as much as a tool: thumbnails, strategy, support, publishing, and the option of handing the work to DittoStudios entirely. If your hours are worth more than the difference, stop reading and go.

Everyone else should look at what that difference actually buys.

Primer is $194 a month for two hours of translation. EasilyAI's Standard plan is $150 for 3,570 credits — about 142 minutes of dubbing from a raw file, and around 357 minutes if you supply the transcript and translation. More finished minutes, $44 a month less, and that is before the 62% premium on anything past the allowance, which EasilyAI does not charge.

Over a year, that gap is more than $500 that has not been spent yet.

Spend part of it on a person instead

A native speaker of the market you are entering, an hour a week, reading the translation through a review link and checking the titles you wrote. That is the same job DittoStudios does — at a rate you set, with someone you chose, who watches your channel and knows what your jokes are supposed to land as.

You keep the editor, the accent tiers, the stem mixing, the LUFS master and the stage checkpoints, and you are still ahead on cost. What you give up is the thumbnail translation and the sync extension — a real loss, and a smaller one than most people expect when they price the alternative.

The version of this that sounds too good is the one where the software replaces the human. It does not, on either platform. The only question is whether the human is billed to you at a rate you cannot see, or hired by you at one you can.

EasilyAI fits when the audio itself is the hard part: several markets, accents that have to be right for the country rather than merely correct for the language, cross-talk that has to survive, music and effects that have to come through, a team that reviews before it ships, and a master that hits YouTube's spec instead of arriving quiet under the original track.

Ten dollars settles it faster than any comparison page, including this one. Dub one video, hear how the accent lands in the market you want, and compare that against the second month of anything. The pipeline breakdown shows where each credit goes, and the YouTube dubbing guide covers what multi-language audio does to watch time once it is live.

Side by side