Checked August 2026. Figures below are taken from Maestra's own published pricing and help pages on that date. Terms change often — verify before deciding.
Maestra is four products. Transcription, subtitles, voiceover and real-time captions each sit on their own plan ladder, with their own monthly allowance, and you subscribe to the ones you need.
EasilyAI is one product with four stages inside it, paid from a single credit balance. That difference sounds administrative until you publish a video in another market, which needs a transcript, a translation and a dub — three of those ladders at once.
Four ladders, four allowances
Maestra's voiceover plans run $39 a month for 120 minutes, $79 for 300, $159 for 600 and $359 for 1,500. Transcription is a separate ladder: $23 for 180 minutes, $39 for 360, $79 for 900. Subtitles are another, at $39 for 360 minutes and up. There is a pay-as-you-go option at $12 per 60 credits. Lip-sync unlocks at the Business tier and costs $2 per minute of video on top.
Two things about those numbers before you compare them to anything.
They are annual-billing prices. The "Save $117" beside the Basic plan is what you get for paying a year up front, so the month-to-month figure is higher than the one on the page.
They do not add up the way a single plan does. A month where you transcribe 200 minutes, subtitle 150 and dub 90 touches three ladders, each with its own unused remainder. Allowances do not pool.
EasilyAI charges from one balance: 8 credits a minute for transcription, 18 for Translation Deluxe, 25 for AI Dubbing Standard — dropping to 10 when you bring the transcript and translation yourself. Spend it on transcription today and dubbing next week. Nothing to subscribe to twice, and nothing left over in a bucket you cannot reach.
The part that costs time rather than money
The products are not wired to each other. Each returns its own separate result, and the result of one is not the input of the next. The transcript you paid for does not become the translation. The translation does not become the dub.
You carry files between them by hand. Every handoff is a place for the timing to drift and for someone to reconcile it afterwards — and on a video with several speakers, reconciling timecodes by hand is most of the afternoon.
On EasilyAI the three stages are one pass on one file. Transcription produces the master timeline, and translation and dubbing inherit it. Timecodes hold through exports and language switches because nothing was ever handed off.
You approve each stage before it spends your credits
Because the stages are connected, the pipeline can stop between them.
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, so you fix the line where a product name became a common noun before a single credit goes on audio.
Without those checkpoints the usual thing happens: you generate all three stages, listen, find a mistake that started in the transcript 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, and no pricing page on either side puts a number against them.
What the editor lets you do
Maestra's voiceover editor changes the text, the timecodes and the speaker name. That is a caption editor with a voice attached to it. Its published formats go in as MP4, MOV, MKV, AVI, MP3 and WAV, and come out as SRT, VTT, TXT, DOCX or MP4.
Nothing in that list brings a translated script in as a table, so a translation your linguist already delivered gets retyped line by line.
Overlapping speech is where the difference shows most. Maestra's own help pages treat two people talking at once as something you go in and correct, and in practice the correction becomes the work: segments get clipped, so the line that started first never finishes, and in a language that needs more syllables than the original the voice runs past the end of its own segment and over whatever comes next. At that point you are not editing a dub. You are repairing one.
EasilyAI treats both cases as the job rather than the exception:
- Import the script as a CSV and the whole translation lands on the timeline already segmented. It also drops dubbing from 25 credits a minute to 10 — the platform charges less for the work you did yourself.
- Overlapping speech is supported, not repaired. Two people talking over each other stay 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, arguments and podcast cross-talk survive the dub instead of being flattened into a queue.
- Three panels held in context — segments, video playback and a timeline — because correcting a dub means reading the line, hearing it and placing it at the same moment.
Accents, not just language counts
Maestra publishes 125+ languages for transcription. EasilyAI documents 80+ languages with a dedicated voice, each in two tiers — Standard for the accent most projects need, Deluxe for city and region level:
- Spanish — nine accents: Mexican, Colombian, Castilian, Argentine (Rioplatense), Chilean, Peruvian, Venezuelan, US Spanish, Ecuadorian.
- Arabic — thirteen dialects, from Egyptian and Levantine 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.
The count is the smaller half of it. What matters is that the breakdown is published, so you can check your market before paying — the full index lists every one. A Colombian viewer knows within three seconds whether a dub was made for them or merely translated into their language, and the case-study data shows what that costs in watch time.
Finishing, not just voicing
A voiceover minute buys a minute of audio. What sits between that and a publishable video is engineering:
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 to reassemble elsewhere.
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 at the end. Nothing to reopen in Pro Tools, Audition or Resolve to fix levels.
Subtitles from the same timeline. Every project exports an SRT alongside the audio, built to professional subtitling parameters — reading speed, line length and duration inside the limits a subtitler works to — so the captions agree with what is being heard. On Maestra, subtitles are a separate plan ladder with its own allowance.
Review without exporting. A shareable link per draft: a native speaker hears the dub, reads the translation and leaves notes on the exact timestamp. Fifteen collaborators, no per-seat charge. No cap on video length on any plan.
Where Maestra is the better answer
Three cases, and pretending otherwise would waste your time:
Live captioning. Maestra has a real-time product, from $39 to $359 a month. EasilyAI does not do live anything — it works on files.
Lip-sync. Available from their Business tier at $2 a minute. EasilyAI cannot move a speaker's mouth, and no amount of audio quality replaces that if your video is a face talking to camera.
Voiceover on its own, cheaply. If all you need is a translated audio track and you will handle the rest yourself, their per-minute voiceover rate is lower than EasilyAI's, and it will stay lower. That is a fair trade when the audio file is the deliverable.
Which one fits
Maestra fits when you want one stage at a time — a transcript this month, subtitles the next — or when you need live captions, or lip-sync, or the cheapest possible voiceover minute and nothing around it.
EasilyAI fits when the deliverable is a finished video in several markets: the accent right for the country rather than merely correct for the language, cross-talk intact, your score mixed back in, a master that passes each platform's spec, a team reviewing before it ships — and a pipeline that lets you catch a mistake before you have paid to generate it three times.
Ten dollars settles it faster than any comparison page. Credits top up from $10 with no subscription, enough to dub a short video and hear how the accent lands in the market you want. The pipeline breakdown shows where each credit goes.
Side by side
| EasilyAI | Maestra | |
|---|---|---|
| Structure | One pipeline, four stages | Four products, four plan ladders |
| Cheapest way in | $10 credit top-up, no plan | $12 per 60 credits, or a plan |
| Entry plan | $50/mo | $39/mo voiceover, annual billing |
| Best rate requires an annual commitment | No — it is the monthly rate | Prices shown are annual |
| Transcript, translation and dub on one balance | Yes | No — separate plans, separate results |
| Stages feed each other | Yes — one master timeline | No — files moved by hand |
| Approve each stage before it spends credits | Yes | Not published |
| Languages with a dedicated voice | 80+, in two accent tiers | 125+ for transcription |
| Published accent breakdown per language | Yes — 9 Spanish, 13 Arabic, 13 English | Not published |
| Import a translated script as a CSV | Yes — and it halves the credit cost | Not among published formats |
| Overlapping speech kept as separate lines | Yes, each inside its own duration | Treated as something to correct |
| Music and effects stems mixed in | Yes | Not published |
| Loudness mastering per platform | 8 standards, LUFS and true peak | Not published |
| SRT export | Yes, from the same balance | Separate subtitle plan |
| Timestamped review links | Yes | Not published |
| Seats included | 15 | Not published |
| Video length cap | None | Not published |
| Live captioning | No | Yes, $39–$359/mo |
| Lip-sync | No | Yes, $2/min from Business |
If you are weighing up more than these two, the wider comparison covers Rask AI and Dubverse as well.