Check pronunciation from a recording
ScreenApp provides AI pronunciation feedback from the original recording, with a score from 0 to 100 and timestamped suggestions. Record yourself or upload a recording, then ask for pronunciation feedback. The analysis listens to the original media rather than inferring pronunciation from a transcript.
Make the feedback specific
Tell the app which speaker, target accent or words you want it to review. Listen to the timestamped passages alongside its suggestions and compare the expected wording with what was heard.
It Listens to You, It Does Not Read to You
This is the part worth understanding before you use any pronunciation tool, because most of them do the opposite job.
Type a word into a dictionary site and it plays you a recording of someone else saying it correctly. That is a model pronunciation. It is useful, and it tells you nothing about your own, because nothing you did was measured. The same is true of the text boxes on most language sites: they read your typing aloud, which is text to speech wearing a checker’s clothes.
Here you record yourself, or upload audio you already have, and the feedback is about that audio. It comes back with timestamps, so a correction points at the moment in your recording where it happened rather than at a word in the abstract. That is the difference between being shown the right answer and being told what you actually did.
Checking English Pronunciation
Most people arrive wanting an English pronunciation checker, and English is where the target accent question matters most, because there is no single correct English.
The vowel in “bath”, the r at the end of “water”, the t in the middle of “better”: all of these are correct in one variety and wrong in another. So tell it which accent you are aiming for, British or American or something else, before you ask for corrections. Without that, feedback drifts toward a general standard that may not be the one you want.
It works on other languages too, and the same rule applies: name the variety you are targeting.
Getting Feedback You Can Act On
Record a short passage rather than a single word. Thirty seconds of connected speech shows things a word in isolation never will, like where you put stress in a sentence and what happens to the ends of your words when the next one follows quickly.
Name the words you are unsure about. If you already know “thorough” and “through” trip you up, say so, and the feedback will center on them rather than spreading itself evenly across everything you said.
Then listen back to the timestamped passages next to the suggestions. Reading a correction is worth much less than hearing the moment it refers to, and the timestamps exist so you can do exactly that.
What the Score Means, and What It Does Not
The score is AI feedback about one recording. It is not a certified language exam, a clinical assessment or a standardized measure of proficiency, and it should not be used as evidence of either fluency or a speech difficulty.
It also cannot separate you from your microphone. A room with an echo, a phone held at arm’s length, or a noisy cafe all degrade what reaches the model, and the feedback degrades with it. If a result looks unfair, check the recording before you believe it. The audio quality checker measures whether a recording is clean enough to be worth judging.
And it evaluates what you said, not what you meant to say. If you misread a word, it will assess the word you actually produced, which is correct behavior but occasionally surprising.
See current plans and accuracy before relying on the result.
