Subtitles: how to get an accurate SRT from audio
The "Subtitles" tool recognizes speech from an uploaded audio file directly in the browser and creates a text track with timestamps that can be downloaded in SRT format. To make the result suitable for editing or publishing, it is important to understand exactly what the tool does, and what it does not. In this article we will break down how the form works, what limitations apply and how to check the finished file. All examples are illustrative in nature and are not real recordings.
Open tool: Subtitle generator ↗What the "Subtitles" tool can do
The tool accepts an audio file and performs local transcription: the sound is not sent to external servers, processing takes place in the browser. As a result you get subtitles in SRT format - a simple text file with a sequence of captions, each containing a serial number, start and end timestamps and the text itself.
In addition to SRT, the result can be downloaded as plain text TXT. This is convenient if you only need a transcript without markup. The tool does not perform automatic translation, does not create narration and does not generate video. Its task is to accurately recognize speech and set time boundaries. The quality of recognition depends on the clarity of diction, the noise level and the language of the recording.
Important to understand: the tool is not an editor of subtitles. It does not offer style presets, does not allow setting font or color, does not perform batch processing and does not save history. All you can do is upload audio, select a language and get one result. Therefore, the accuracy of the input task directly affects the suitability of the output.
Example: upload interview.wav, select language "Russian", press "Generate" and download subtitles.srt.
Available input fields
The interface is a web form with text fields. The first field is the main task, up to 8000 characters can be entered here. Here you describe what to do with the audio: for example, "recognize speech and create subtitles in SRT". The second field is details, up to 1000 characters. In it you specify features: language, proper names, terms, expected punctuation.
There is no separate field for uploading audio - the file is selected via a standard element. The maximum audio size for browser processing is 20 MB, duration up to 5 minutes. If the recording is longer, it must be split into parts. There is a separate speech generation mode with a 3000-character limit, but it does not apply to subtitles.
Fields do not support formatting, image insertion or links. Everything you write will be perceived as plain text. The tool has no change level settings, sliders or presets. This means all nuances must be expressed in words. The more specific the instruction, the fewer errors in recognition.
Poor task: "Make subtitles". Good: "Recognize Russian speech in file lecture.mp3, create SRT with timestamps. Consider terms: neural network, transcription, SRT. Preserve punctuation by meaning."
How to formulate an accurate task: context and purpose
Start with context. Indicate what kind of recording it is: interview, lecture, podcast, video lesson. This will help the tool better place pauses and process specific vocabulary. For example, in a medical lecture Latin terms may appear, and in a podcast - conversational abbreviations. If the context is not specified, recognition may be less accurate.
Then formulate the purpose. Do you need subtitles for editing, for publishing on a video platform or just a text transcript? This affects how important precise timestamps are. For editing the clip boundaries are critical, for text - only the content. The tool always creates SRT, but you can ask in the task to pay attention to synchronization.
Do not forget about limitations. If the recording has background noise, music or multiple speakers, warn about it. The tool does not separate voices or remove noise, but may cope better if you indicate that the main speech is primary and the noise is secondary. Also specify the language if it is not obvious, and ask to preserve proper names.
"This is an interview with two speakers in Russian. Subtitles in SRT format are needed for editing. Consider names: Anna, Dmitry. Minor background noise. Keep pauses between replays."
Format and limitations: what to specify in details
In the "Details" field list special requirements. For example, if the audio contains abbreviations, write their expansion. If you need a specific formatting of numbers (digits or words), indicate this. The tool has no punctuation settings, but you can ask to place punctuation marks by meaning. This is especially useful for long monologues.
Length limitations: main field up to 8000 characters, details up to 1000. This is enough to describe even a complex project. Do not try to insert the subtitle text itself into the task - the tool does not work as an editor. It only recognizes audio. If you want to fix errors after generation, download the SRT and edit manually in any text editor.
Keep in mind that the tool does not perform automatic saving, does not send results by email and does not publish them. You receive one file that can be copied or downloaded. Therefore in the task do not ask to "save to folder" or "send by email" - these functions are not available. Focus on accuracy of recognition and timestamps.
Details: language Russian. Terms: API, SRT, timecode. Numbers write as digits. Punctuation by meaning. Timestamps with accuracy to tenths of a second.
Example of a poor and good task
A poor task often consists of one word or a general phrase: "Subtitles". The tool does not understand which language, which format, which features. As a result it may choose the default language, incorrectly set caption boundaries or ignore names. This leads to the need for manual correction, which takes time.
A good task contains specificity. For example: "Recognize the audio file in Russian, create subtitles in SRT format. This is a history lecture, dates and names are mentioned: Ivan the Terrible, 1547 year. Preserve punctuation, write numbers as digits. Timestamps should correspond to the beginning and end of each phrase." Such a task gives the tool all the necessary guides.
Another example of a successful task: "Podcast recording in Russian, two hosts. Subtitles in SRT format needed for YouTube publishing. Consider names: Python, Django. Conversational speech, possible pauses. Do not break into too short captions." Here context, purpose, lexical features and preferences on caption length are specified.
Poor: "Make subtitles". Good: "Audio in Russian, interview with a doctor. Create SRT. Terms: anamnesis, diagnosis. Names: Elena Petrovna. Punctuation by meaning. Accurate timestamps."
How to check the result
After generation download the SRT file and open it in a text editor or subtitle software. Check three things: correspondence of text to audio, correctness of timestamps and absence of extra characters. The tool may make mistakes in names, terms or numbers. If there are errors, correct them manually - this is faster than generating again.
Pay attention to synchronization. Timestamps should match the beginning and end of captions. If subtitles lag or rush, check if there were long pauses or overlapping speech in the audio. In such cases the tool may fail. For critical projects it is better to split the audio into short fragments and process them separately.
Also check the file encoding. SRT must be in UTF-8 to display correctly in players. If you see "crazy characters", re-save the file in the required encoding. Remember that the tool does not guarantee an ideal result: the model may make errors, and queue and availability may vary. Always leave time for manual verification.
Open the SRT in Notepad: check that numbers go in order, timestamps look like 00:00:01,000 --> 00:00:04,000, text without extra spaces.
Limitations and typical errors
The tool does not support batch processing, does not save history and does not have integrations. You cannot upload multiple files at once or get a result in DOCX or PDF. Export is possible only in SRT and TXT. There is also no automatic translation function - subtitles will be in the language the speaker uses. If you need a translation, you will have to use other means.
Another limitation - audio length. Maximum 5 minutes and 20 MB. For longer recordings you have to cut them into parts. The tool is not designed for streaming processing or working with video files. It accepts only audio. Do not try to upload MP4 - it will not work.
A typical error - too general task. Users often write "make it good" or "quality", but these words do not carry specificity. The tool does not understand evaluative judgments. Instead specify measurable parameters: language, format, terms, names, punctuation. The more precise the task, the fewer corrections will be required.
Do not ask: "Make perfect subtitles". Ask: "Create SRT with accurate timestamps, preserve proper names, place punctuation."
The "Subtitles" tool is a simple way to get a text track from audio without sending data to third-party servers. To make the result useful, formulate a task with context, purpose, format and limitations. Specify the language, terms, names and punctuation preferences. After generation, be sure to check the SRT manually: fix recognition errors and synchronization. Remember that the tool does not guarantee an ideal result; the model may make errors. Use it as a rough draft that will speed up your work, but will not replace final proofreading.
Open tool: Subtitle generator ↗Interface translations are machine-assisted and may need refinement.