EasilyAI vs CAMB.AI

Checked August 2026. Figures below are taken from CAMB.AI's own published pricing page on that date. Terms change often — verify before deciding.

CAMB.AI is a research company that happens to sell a product. Its own models — MARS for cross-lingual voice cloning, BOLI for context-aware translation — are genuinely impressive, it covers 150+ languages and dialects, and it does live speech-to-speech translation, which almost nobody else does at all.

Then you read the pricing page, and one row decides most of the decision.

"Total Minutes Available"

That is the label on their own pricing table. Here is what it says, tier by tier:

Read the Pro row twice. Twenty dollars a month buys three minutes of dubbed video. Not three hours, not thirty minutes. Three.

And the rate barely improves as you climb: the cheapest minute on the whole ladder is $5.56 on a $250 plan, and the $900 tier is more expensive per minute than the $250 one.

For scale, EasilyAI's $50 plan carries 1,135 credits at 25 credits a minute — about 45 minutes for $50, or roughly $1.10 each. The same 45 minutes costs $250 on CAMB.AI. Bring your own transcript and translation and EasilyAI's rate drops to 10 credits a minute, around $0.44.

One caveat, stated plainly: their pricing page does not spell out whether "Total Minutes Available" is a monthly allowance or a per-video ceiling. The label points to an allowance. Either reading is worth checking before you commit, because either one is a hard limit at a high price.

The free tier has a watermark

CAMB.AI's free plan includes two minutes and watermarks the output; the watermark is removed on paid plans. That is a reasonable way to run a free tier, and it means the free minutes are for evaluating quality, not for shipping anything.

EasilyAI has no free tier at all — the cheapest way in is a $10 credit top-up with no subscription, which buys around nine minutes of Standard dubbing. Not free, but the output is yours to publish, unmarked, from the first minute.

150+ languages against 80+, and what sits underneath

CAMB.AI publishes 150+ languages and dialects. That is more than EasilyAI's 80+, and if your market is a language outside the major families, they may simply have it and we may not. Check yours first — it is the fastest way to settle this.

What EasilyAI publishes instead is the accent breakdown inside each language, which almost nobody does:

• 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 to Omani, Palestinian and Iraqi.
• English — American, British, Indian, Australian, Canadian, Nigerian and South African, plus Indian, Australian, Canadian, South African and Yorkshire on Deluxe.

The full index lists every one, so you can check your market before paying rather than after. A Colombian viewer knows within three seconds whether a dub was made for them or merely translated into their language — the case-study data covers what that does to watch time.

Where the two products actually differ

CAMB.AI includes a transcript and translation editor for reviewing output before download. EasilyAI's pipeline is built around the review being the point, not a step at the end:

You approve each stage before it spends your credits. After transcription you see 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. On a plan that carries three minutes, one wasted regeneration is your whole month.

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 a line is neither clipped short nor left running over the next. Interviews, panels and podcast 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 dubbing from 25 credits a minute to 10.

Your music and effects, intact. Upload the stems separately and the platform mixes them into the dub instead of handing you 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. Nothing to reopen in Pro Tools, Audition or Resolve.

Subtitles from the same timeline. An SRT alongside the audio, built to professional subtitling parameters, so the captions agree with what is being heard.

No cap on video length, on any plan, and fifteen collaborators with no per-seat charge.

What happens after the dub exists

Both platforms will hand you a translated audio track. The question that decides which one you want is what state that track arrives in.

Loudness. A generated voice comes out at whatever level the model produced. Publishing it next to your original audio — or on a platform that normalises loudness — is where dubbed videos give themselves away, because the dubbed track sits noticeably louder or quieter than everything around it. Mastering to a target is an audio-engineering step, not a text-to-speech setting, and it is not something you can add afterwards without re-rendering.

Music and effects. If the dub replaces the whole audio bed, your intro music, sound design and ambience leave with the original voice. Keeping those stems and mixing the new voice over them is the difference between a dubbed video and a video with a voiceover pasted on top. For anything with production value — a trailer, a branded piece, a documentary — that difference is the entire result.

Subtitles. The transcript and translation already exist by the time audio is generated, so SRT export costs nothing extra and arrives with professional timing and reading-speed parameters. That file goes straight to YouTube or an edit suite.

Where the money goes when something is wrong

The expensive mistake in dubbing is not the rate per minute. It is the regeneration.

An error in the transcript propagates into the translation and hardens into the voice. Catch it at the end and you pay to generate all three stages again — the transcription that was fine, the translation that inherited the error, and the audio that made it permanent. It was free to fix at step one and expensive at step three.

So the pipeline stops. After transcription you review the segments — text, speakers, timecodes — and correct them while correcting them costs nothing. Only then does translation run, on a transcript you approved, and it stops the same way before a single credit goes on audio.

On a platform that runs end to end and presents a finished file, the equivalent of that review is watching the output and starting over. With a minute-based catalogue that is not a workflow difference, it is a bill difference — and it is the reason a headline per-minute rate is a poor predictor of what a project actually costs.

Credits top up from $10 with no subscription, which is enough to run one real video through both and compare the finished tracks rather than the pricing pages. The pipeline breakdown shows where each credit goes.

Where CAMB.AI is the better answer

Three cases, and they are real:

Live and real-time. Speech-to-speech translation as it happens is their home ground — live sports, broadcast, events. EasilyAI works on files and does nothing in real time.

A language we do not have. 150+ against 80+. If your market sits outside our list, the comparison ends there and they win it.

Voice cloning from almost nothing. MARS clones from two or three seconds of audio. If all you have is a fragment of a speaker, that is a genuine capability.

Which one fits

CAMB.AI fits live and broadcast work, rare languages, and research-grade cloning from tiny samples — with a budget that treats dubbing as a premium line item rather than a per-video cost.

EasilyAI fits when the volume is real and the deliverable is finished: several markets, accents chosen for the country, cross-talk intact, your score mixed back in, a master that passes each platform's spec, no ceiling on length, and a pipeline that lets you catch a mistake before you have paid to generate it three times.

The clearest way to decide is the arithmetic above. Three minutes for $20, or forty-five for $50. If your channel publishes more than one video a month, that is the whole conversation.

Credits start at $10 with no subscription. The pipeline breakdown shows where each one goes.

Side by side

If you are weighing up more than these two, the wider comparison covers Maestra, Rask AI and Dubverse.

Questions people ask

How much does CAMB.AI cost per minute of dubbing?

Its pricing page lists a row called "Total Minutes Available": 2 minutes on Free and Essentials ($5), 3 on Pro ($20), 12 on Premier ($75), 45 on Advanced ($250) and 120 on Expert ($900). That works out at roughly $6.67 a minute on Pro and $5.56 on Advanced, the cheapest rate on the ladder. EasilyAI’s $50 plan carries 1,135 credits at 25 credits a minute — about 45 minutes, or roughly $1.10 each, dropping to about $0.44 when you supply the transcript and translation.

Does CAMB.AI have a free plan?

Yes — two minutes, with the output watermarked. The watermark is removed on paid plans, so the free tier is for judging quality rather than shipping anything. EasilyAI has no free tier: the cheapest way in is a $10 credit top-up with no subscription, which buys around nine minutes of Standard dubbing, unmarked and ready to publish.

Which one supports more languages?

CAMB.AI, clearly: 150+ languages and dialects against EasilyAI’s 80+ with a dedicated voice. If your market sits outside EasilyAI’s list, that decides it. What EasilyAI publishes instead is the accent breakdown inside each language — nine Spanish accents, thirteen Arabic dialects, and Indian, Australian, Canadian, South African and Yorkshire inside English — so you can check your region before paying.

What does CAMB.AI do that EasilyAI does not?

Real-time speech-to-speech translation, which is its home ground in live sports and broadcast, and voice cloning from two or three seconds of audio with its MARS model. EasilyAI works on files, does nothing in real time, and needs a longer sample to clone. In exchange it adds accent-level voices, stage-by-stage approval before credits are spent, overlapping dialogue kept intact, stem mixing and loudness mastering in LUFS and true peak.