Subtitles: How to transcribe audio in the browser and download SRT
'Subtitles' is a browser tool that recognizes speech in an uploaded audio file and creates a text track with timestamps in SRT format. Processing happens locally: sound is not sent to external servers, which is important for privacy. The tool is suitable for creating subtitles for short lectures, interviews, podcasts or home videos. In this guide we will go through how to prepare the audio, perform generation and check the result. All examples in the article are fictional and provided for clarity.
Open tool: Subtitle generator ↗What exactly the tool does and who it is suitable for
The tool accepts an audio file as input, which the browser can usually decode (typically WAV, MP3, OGG, M4A), and outputs text with time breakdown in SRT format. This is the standard subtitle format compatible with video editors, YouTube and most players. Recognition is performed locally: sound is not transmitted to the cloud, so you can work with confidential recordings without the risk of leakage.
The tool does not perform speech synthesis, does not create videos and does not generate images. Its task is only transcription and timestamp placement. No batch processing: you can upload only one file at a time. Limitations: audio up to 20 MB and duration up to 5 minutes. This is enough for short videos, but longer recordings will have to be split into parts.
Who it is suitable for: bloggers, students, journalists, researchers — everyone who works with audio recordings and wants to quickly get a text transcript with timestamps. No registration is required, data is not saved on the server. However, recognition quality depends on speech clarity, absence of strong background and accent. In complex cases manual correction will be required.
Example (fictional): upload interview.mp3 file (12 MB, 4 minutes), select language 'Russian', click 'Generate'. After a few seconds a panel with SRT text will appear.
Audio preparation: what to do important before uploading
Before uploading make sure the audio meets the limits: size not more than 20 MB, duration not more than 5 minutes. If the file is larger, trim it or convert to a more compressed format (e.g. MP3 with bitrate 128 kbps). Check that speech is intelligible: remove unnecessary noise if possible. The tool does not have built-in noise suppression filters, so the quality of the original directly affects the result.
Select the recognition language. If the recording contains multiple languages, the tool may make mistakes. For mixed speech it is better to split the file into fragments by language. Also avoid too fast speech and strong accent — this increases the likelihood of errors. If the recording contains music or extraneous sounds, recognition may insert extra words or skip lines.
File format: the tool works with audio that the browser can decode. Usually this is WAV, MP3, OGG, M4A. If your file is in another format, convert it in advance. Do not upload video files — audio only. If you have video, extract the sound track using any editor.
Example (fictional): you have a lecture recording lasting 7 minutes. Divide it into two files of 3.5 minutes each, save as MP3 and upload sequentially.
How to perform subtitle generation: step-by-step instructions
Open the tool page. You will see a web form with fields: a text field for instructions (optional), language selector and 'Generate' button. In the instructions field you can write wishes, for example: 'Split into short phrases' or 'Remove filler words'. But remember: the tool does not guarantee exact following of these instructions, as this is not fine-tuning, just a hint.
Upload an audio file by clicking the file selection button. Make sure size and duration are within limits. Select the language of the recording. If you are not sure, try auto-detection, but it may make mistakes. Click 'Generate'. Processing takes from a few seconds to a minute depending on length and server load. The result will appear in a separate panel to the right or below.
After generation you will see text in SRT format: blocks with serial number, timestamps and text. You can copy it to the clipboard or download as .srt file. The tool does not save history, so download the result immediately if you need it. If the result is unsatisfactory, you can try again, changing instructions or language, but do not expect an ideal result with poor audio quality.
Example (fictional): in the instructions field write 'Make subtitles for this audio'. Upload podcast.mp3 file, select 'Russian', click 'Generate'. After 10 seconds SRT text will appear.
Checking the result: quality criteria and typical errors
Check timestamps: they should correspond to the speech. If subtitles lag or rush, this may be related to recognition features. SRT time is in format hours:minutes:seconds,milliseconds. Make sure there are no overlaps: each subtitle must start after the previous one ends. If there are overlaps, the player may show text incorrectly.
Check text for errors: missing words, incorrectly recognized names, numbers, terms. Especially carefully check proper names and specialized terms. The tool may confuse words that sound similar. If there is background noise in the audio, artifacts may appear — meaningless phrases. In such case edit the text manually in any text editor.
Pay attention to line splitting: in SRT there should not be too long lines, otherwise they will not fit on the screen. It is recommended no more than 42 characters per line. The tool may not comply with this rule, so edit if necessary. Also check that there are no empty blocks or blocks with a single space. If they exist, remove them.
Example (fictional): after generation you see block '1 00:00:01,000 --> 00:00:04,000 Hello, how are you?'. Check that the time matches the beginning of the phrase in the audio.
Tool limitations and how to work around them
Main limitation — audio length up to 5 minutes and size up to 20 MB. For longer recordings you will have to split them into parts and generate subtitles separately, then manually merge SRT files. When merging keep track of sequential numbering and time shift. This can be done in a text editor or with special utilities.
Second limitation — recognition quality. The tool is not perfect: it may make mistakes on fast speech, strong accent, background noise. Also it does not support diarization (splitting by speaker), so there will be no indication in subtitles who is speaking. If this is important, you will have to mark manually. In addition, there is no possibility to edit subtitles within the tool — only download and edit externally.
Third limitation — no batch processing and no automatic saving. You cannot upload multiple files at once or save a project. Each time you have to upload the file again. Also there is no integration with video editors or platforms. This means that after downloading SRT you will have to manually embed it into the video. Take these limitations into account when planning your work.
Example (fictional): you have a 20-minute recording. Divide it into 4 parts of 5 minutes each, generate 4 SRT files, then merge them, increasing time in each subsequent file by 5 minutes.
Practical tips for better results
Record audio in a quiet room with a good microphone. The cleaner the sound, the more accurate the recognition. If the recording is already made, try to remove noise using an audio editor (e.g. Audacity) before uploading. This can significantly improve the result. Also avoid overlapping speech: when several people speak at the same time, the tool cannot divide them.
Use instructions in the text field to clarify format. For example, you can ask 'split into short phrases' or 'ignore filler words'. Although the tool does not guarantee exact execution, sometimes it helps. Do not write too long instructions — they may be ignored. Better to limit yourself to one or two wishes.
After obtaining SRT definitely check it in a player that supports subtitles (e.g. VLC). Load video and subtitles to see how they are synchronized. If there are discrepancies, edit timestamps manually. Remember that automatic subtitles always require checking, especially if they are intended for publication.
Example (fictional): before uploading process audio in Audacity: remove noise, normalize volume. Then upload to tool and get cleaner text.
The 'Subtitles' tool is a simple way to get an SRT file with timestamps without sending audio to the cloud. It is suitable for short recordings up to 5 minutes and 20 MB. Quality depends on speech clarity and absence of noise. Be sure to check the result: timestamps, text, splitting. If necessary, edit manually. Remember the limitations: no batch processing, no diarization and no built-in editor. Use audio preparation tips to improve accuracy. This tool is a good assistant for quick transcription, but not a replacement for a professional studio. Examples in the article are fictional and provided for training.
Open tool: Subtitle generator ↗Interface translations are machine-assisted and may need refinement.