In short
Enago and Editage sell three different things under one umbrella: language editing, journal formatting and statistical analysis. They do the first two well, and that is what most people buy. Statistics exists at both houses, but you pay for it separately and it comes inside no editing package: Enago publishes three levels at a fixed price per manuscript ($1,360 for a full analysis from raw data, $765 for method recommendation and $638 for validating an analysis you have already run), while Editage lists it as a standalone service alongside translation and formatting, with no public price. All checked in September 2026 on enago.com and editage.com. If what worries you is that the numbers might be wrong, a copy editing package will not catch it, because that is not what you bought.
Your manuscript is finished, you know English is not your strong suit, and you have landed on the Enago or Editage website to look at prices. There are four or five packages, a quote configurator, certification badges and a service list that runs from translation to graphical abstract design. The question you actually brought is not which of the two is cheaper: it is whether the thing you are about to pay for covers what genuinely worries you about the manuscript. And the answer depends a great deal on what worries you, because that basket holds three different trades at three different prices, and the one that frightens you most is usually the one not included.
Three different trades sold in the same basket
When you pay for «manuscript editing» you are buying, depending on the package, some combination of three jobs that have nothing to do with each other. The first is language: somebody reads your sentences and leaves them in publishable academic English. The second is formatting: somebody takes your document and puts it in the exact shape the target journal asks for, from reference style to the abstract word limit or figure resolution. The third is statistics: somebody looks at your data, your models and your numbers, and tells you whether they support what you claim. Three different people do them, they cost three different prices, and they fail in three different ways.
They are sold together for a sensible reason: you do not arrive with three problems, you arrive with one. «My paper is not ready for this journal.» The service decomposes that sentence into a shopping cart. The trouble starts when the cart does the decomposing instead of you, because then you end up buying whatever is easiest to buy, which is almost always language, rather than the thing that was keeping you awake, which is almost always something else.
There is a quick test to tell them apart: ask yourself what each one would change in your document. Language changes sentences. Formatting changes the shape, meaning where everything sits and how it looks. Statistics can change what your paper claims. Only the third layer can force you to rewrite a conclusion, which is why it is the only one of the three that is genuinely frightening.
What they do well, which is plenty
Enago organizes its catalog by level of intervention: Proofreading Service, Copy Editing, Substantive Editing, Top Impact Scientific Editing, plus a separate Thesis Editing line. Editage does it by package, and publishes the per-word price of three of them on its home page: Advanced Editing from $0.06 per word, Premium Editing from $0.13, and Scientific Editing Pro from $0.24 (checked in September 2026). Treat those figures carefully before you budget around them: they are starting rates, and on Editage's own editing page they appear with discounts applied that put the effective price well below the headline. The rate in your quote may not be the rate in the window.
Even so, publishing the price and pricing by the word is a virtue, and it deserves saying: you can work out the order of magnitude before you speak to anybody. And they do what they say they do. If you write in English as a second language and a manuscript has come back with a note saying the writing needs review by a native speaker, a competent copy editor solves that, and solves it better and faster than you rewriting at midnight. A desk rejection for language is a real event, not a corridor legend, and avoiding it for a few hundred dollars is a reasonable purchase. Looking down on that service is a luxury reserved for people who have been writing in English since they were six.
Around the editing, both houses sell the scaffolding of submission, and that saves real hours too. Enago lists journal selection, an iThenticate plagiarism report, formatting and artwork editing, cover letter drafting and journal submission assistance as separate items. Editage adds translation, graphical abstracts, scientific illustration, plagiarism checking, and support with journal selection and submission. None of that is statistics, but none of it pretends to be.
It is worth saying plainly, because it is fair: both companies are transparent about the categories. Neither sells a copy editing package while implying that somebody in there is looking at your models. Statistics sits on its own tab, with its own price and its own turnaround. If you come away with the impression that editing covered the numbers, that impression is one you built yourself.
Yes, they offer statistical review, and you buy it separately
This is the single most useful thing to know before you fill in a form. Enago has a dedicated statistical analysis page with three options, each with a fixed price per manuscript and a turnaround (checked in September 2026): the full analysis from your raw data, $1,360 and 15 days; statistical recommendation, meaning help choosing and implementing the right method, $765 and 8 days; and the cheapest and fastest, $638 and 7 days, to review and validate an analysis you have already run yourself.
The deliverables of the full option are worth reading carefully, because they set the standard you should demand from anybody: clean labeled data, the findings, a summary report, the SPSS output files, the graphs, and drafted methods and results sections. Getting the output file back, and not just well-written prose, is the difference between being able to defend the analysis when the reviewer returns and not being able to. Their page states the work is done by statisticians with advanced degrees and expertise in your research area.
Editage also has it as a standalone service, listed among its «other services» alongside translation and formatting, and when it launched the service it described it as covering statistical design for grant proposals and study designs, data preparation, analysis and interpretation of results. No price appears on the public page (checked in September 2026): it works through an inquiry form and a quotation. If you are interested you will have to ask, and when you ask, ask exactly what you would ask anybody else.
The practical reading is simple: statistics is not included, and it does not cost a token surcharge, it costs roughly what the whole editing job costs. That is not extortionate, it is what the time of somebody who knows how to do it is worth. But it means that if your budget stretches to one thing you have to choose which, and the website configurator cannot make that choice for you.
Where an editing package stops
A language editor works on the sentence, not on the arithmetic. If you write «t(58) = 2.11, p = .02», the editor will check the italics on the t, the spacing, the leading zero and whether the format is APA 7. Nobody is going to recompute that p value from the 58 degrees of freedom, which gives .039. The sentence comes back immaculate and still wrong, and now it is wrong in beautiful handwriting.
The same goes for an effect size that does not match the statistic it came from, an N that reads 214 in the table and 219 in the methods, or a contrast that is significant in the text and not in the table. These are the errors that show up most often in review, and not because authors are careless: they come from rerunning an analysis and updating only half the document. A copy editor has no way of seeing them, because seeing them means checking each number against its source.
Something similar happens with references, and it carries more weight now than it did three years ago. An editor checks that a reference is correctly formatted, not that it exists. A citation with authors, year, journal and DOI all perfectly punctuated may correspond to no real article at all, and that check is of a different nature: you have to go and look each one up in the databases. It is set out in detail in checking your references before you submit.
I insist this is not a flaw in the service. It sells language, it charges for statistics separately, and it says so on its own website. The mistake, when it happens, is a purchasing mistake: paying for the layer you can see on top and expecting it to fix the one underneath.
How to work out which of the three you need
If you have already been rejected, the letter usually tells you. If the reason talks about clarity, writing, or English requiring revision, it is language, and editing solves it. If it is a desk rejection over fit with the journal's scope or over failing the submission guidelines, it is journal selection and formatting. And if a reviewer questioned the model, the sample, the assumptions or the interpretation of a test, it is statistics, and no tier of editing touches that. How you answer that particular letter is covered in how to respond to reviewers on statistics.
If you have not submitted yet, the question is different: of the three layers, which one could you not defend if somebody pushed back? Nobody is ever asked to justify where they put a comma. You will be asked to justify why that model and not another, how you settled on the N, what you did with missing data, and why that effect is meaningful as well as significant. If that list makes you uncomfortable, you now know which layer your problem lives in.
The bar moves depending on where you send it. At a Q1 journal with methodological review it is common for one reviewer to look at nothing but the statistics, and there a linguistically immaculate manuscript with a debatable analysis falls just as fast. What gets scrutinized in that kind of review is set out on the Q1 journal preparation page.
And a back-of-the-envelope sum to order your budget, with the warning that editing rates move and the headline ones are starting rates: at $0.13 per word, a 6,000-word manuscript in Editage's Premium package comes to roughly $780, and with the discounts the site itself advertises it can land well below that. Enago's statistical options do carry a fixed price, running from $638 to $1,360. Even with that spread, the order of magnitude holds: statistics is not a surcharge on top of editing, it plays in the same price league. Which is why it is worth deciding in what order you spend, rather than letting the order of the buttons decide for you.
What to ask before you pay
Does anybody touch the numbers? Ask it in those exact words. The answer splits the entire catalog in two, and it is the only one that determines whether you are buying language or verification. Everything else (turnaround, rounds, tiers) is negotiated afterwards.
Who does it, and what do I take home? Not the headline number of experts in the catalog, but who specifically, with what training and with what experience in your design: a statistician who is excellent on clinical trials may never have touched a structural equation model with ordinal variables. And of the deliverables, the one that discriminates most is the output. If they hand back text and figures but not the file and the syntax, you cannot reproduce anything. Enago states that it delivers the SPSS output files and the cleaned data; ask for exactly that from whoever you hire, whoever that is.
What happens when the reviewer replies? The manuscript does not end when you submit it, it ends four months later with a request for a sensitivity analysis. Ask what the price includes at that point and what falls outside it, and ask for it in writing.
And before spending anything, there is a cheap way to find out which of the three layers your problem lives in. Previum recomputes p values from your degrees of freedom in code, checks effect sizes against the F or t you reported yourself, and verifies references one by one against eight databases. It is not peer review: it is a self-assessment of your own manuscript before you submit it. If you want to see exactly what it returns before uploading anything, there is the example report.
Frequently asked questions
Does manuscript editing include statistical review?
No. At both Enago and Editage, statistical analysis is a service with its own page and its own terms, sitting outside the editing packages (checked in September 2026). The editing tiers work on the language and, depending on the package, on compliance with the journal's guidelines. If you buy copy editing expecting somebody to look at your models, it will not happen, and neither website says it will.
Do Enago and Editage run the analysis or only review it?
Both, at different levels. Enago publishes three options: a full analysis from raw data, a recommendation on method, and validation of an analysis you have already run. Editage also offers it as a standalone service, described at launch as covering everything from statistical design and data preparation through to analysis and interpretation of results. Which one applies depends on whether you arrive with raw data, a half-finished analysis, or a finished one that a reviewer has challenged.
How much does statistical review cost at these services?
Enago publishes a fixed price per manuscript: $1,360 for the full analysis with a 15-day turnaround, $765 for statistical recommendation with 8 days, and $638 for validating an analysis you have already run, with 7 days (checked in September 2026 on enago.com). Editage publishes no price for its own and works on quotation. These prices change, so check them on the companies' own sites before budgeting around them.
Will a language editing service catch a wrong p value?
No, and it is not their job. Checking a p value means recomputing it from the test statistic and the degrees of freedom: a t(58) = 2.11 does not give p = .02, it gives .039. A copy editor does not do that; whoever recomputes does. The same applies to an effect size that does not match the F it came from, or an N that differs between the table and the methods.
Is the pre-submission peer review they sell the same as journal peer review?
Not in the journal's sense. Enago lists it among its publication support services, and it is a critical read that you commission and pay for. It can be genuinely useful for seeing the manuscript through someone else's eyes before you submit, but it does not replace or anticipate the editorial decision, it is not part of the journal's own process, and the person doing it has no vote in it. It helps you arrive better prepared; it does not let you skip the step.
Is language editing worth paying for if my English is fine?
If you write fluently and only want a final pass, the most basic tier (proofreading, which Enago describes as a grammar and consistency check right before submission) does the job and costs little. The higher tiers, with substantial rewriting, make sense when the text needs structural work, not when it is already clear. And if your English is fine and what keeps you awake is the analysis, you are looking at the wrong column of the catalog: your money goes considerably further on the statistical side.
The editor is not going to look at your numbers. Somebody has to.
If you have read this far, it is because you suspect your problem is not the writing. An editing service will hand back an immaculate manuscript without having touched the model, the sample or the test that makes you uneasy, and that is exactly what it sold you. The other thing takes somebody who sits down with your data: that is what I do in the consulting work, only in psychology and health sciences, covering the analysis and the defense of the analysis when the reviewer comes back, with the output and the syntax in your hands so you can reproduce it without depending on me.
Tell me about your manuscript →The three layers do not compete with each other: they queue. Work out first which one your problem lives in, then pay for the one that solves it, and leave the others for when there is budget to spare. Almost all the money wasted on this comes from reversing that order. The Enago and Editage services and prices cited here were checked in September 2026 on their own websites; verify them yourself before deciding, because they move.