Subtitles: local audio transcription and SRT for study practice
«Subtitles» is a browser tool that recognizes uploaded audio and generates subtitles with timestamps in SRT format. Processing is done locally, without sending the recording to external servers. The interface is minimal: an audio file field, output language selection and a «Generate» button. The result appears in a separate panel, can be copied or downloaded as plain text TXT. No style presets, sliders, batch processing or integrations here. In this article we will explore how to use this tool for active learning practice, how to check transcription quality and what limitations to bear in mind.
Open tool: Subtitle generator ↗What the tool does exactly and how to get SRT
«Subtitles» accepts an audio file up to 20 MB and up to 5 minutes long. After pressing the «Generate» button you get text with timestamps in SRT format. The result is displayed in a separate panel, from where it can be copied or downloaded as TXT. Transcription is done locally in the browser, so the recording is not sent to third-party servers. This is important for study materials you do not want to publish.
Before uploading make sure the recording meets the limits: not longer than 5 minutes and not heavier than 20 MB. If audio is longer, split it into fragments. Select the output language — this affects recognition quality. After generation check that timestamps match the speech. The tool does not save results automatically, so download the file immediately after receiving it.
Upload a 3-minute lecture audio fragment, select Russian and press «Generate». A SRT text will appear in the panel, which can be downloaded as TXT.
Subtitle-based exercises: from passive reading to active work
Ready SRT can easily be turned into a learning task. For example, delete key terms from the text and offer students to restore them by ear, listening to the audio. Timestamps help find the right fragments and check yourself. Such an exercise forces active listening, not just reading ready text.
Another option — working with translation. Generate subtitles in a foreign language, then ask students to translate them and check timings against the original. This develops listening and writing. You can also ask students to find and correct recognition errors: the tool may confuse words that sound similar, and the student's task is to notice the discrepancy with the audio and correct it manually.
Generate subtitles for a short English dialogue, delete 5–7 words from the text and ask students to insert them, listening to the recording.
How to check transcription quality and fix errors
After generation definitely listen to the audio and compare it with the text. Pay special attention to proper names, numbers and special terms — they are most often recognized incorrectly. Timestamps may shift with fast speech or long pauses. Correct errors manually in a text editor, preserving SRT format. There is no automatic checking in the tool.
For accuracy you can ask yourself a few questions: does the number of replicas match the audio, do the time intervals correspond to the duration of the sound, are there any missing fragments. If the recording contains background music or noise, accuracy decreases. In such cases preliminary audio cleanup or recording in a quiet room with a good microphone helps.
Listen to the fragment at 00:01:23: the subtitles say «code», but the recording sounds like «cat». Correct the word manually in a text editor.
Tool limitations and typical errors
«Subtitles» does not support batch processing, automatic saving or integration with other services. Maximum audio length is 5 minutes or 20 MB. If the recording is longer, split it into parts. You cannot edit subtitles within the interface — only download and edit externally. Do not expect perfect accuracy: the model may err, especially with poor sound quality or strong accent.
The tool does not create video, images or speech — this is only audio transcription to text with timestamps. Queues and service availability may vary, so plan time with a margin. Do not try to use «Subtitles» for content generation or other tasks unrelated to transcription.
A 7-minute audio will not load: trim it to 5 minutes or split into two files.
Step-by-step scenario for a class
Suppose a teacher recorded a short 3-minute lecture. He uploads audio to «Subtitles», selects the language and gets SRT. Then he deletes key terms from the text and creates a task: «Fill in the blanks, listening to the audio». Students listen to the recording and insert words. Then the teacher shows the correct answers and discusses errors.
This scenario is a fictional example, but it shows how subtitles become the basis for an active exercise. It is important that students independently check their work, not copy the ready text. Such an approach develops critical thinking and listening skills.
Lecture on photosynthesis: delete words «chlorophyll», «glucose», «light». Students restore them by ear, referring to timestamps.
Practical tips for working with the tool
Record audio in a quiet room with a good microphone. Speak clearly and not too fast. If possible use one language per recording — mixing languages reduces accuracy. Before uploading check that the file does not exceed limits. After generation immediately download SRT, as results are not saved automatically.
For learning purposes combine subtitles with other materials: notes, questions, discussions. Do not limit yourself to only text. Active discussion and application of knowledge fix the material better than passive reading.
Record a short Russian dialogue, generate subtitles, then ask students to role-play it using the timings.
«Subtitles» is a simple way to get SRT from audio locally, without sending data to the cloud. Its main value in learning is the ability to create active exercises: fill-in-the-blanks, translation, correcting recognition errors. Remember the limitations: up to 5 minutes length, no batch processing or automatic saving, possible recognition errors. Always check the result manually. Use subtitles as a starting point for practice, not as a ready answer. Such an approach makes learning more meaningful and effective.
Open tool: Subtitle generator ↗Interface translations are machine-assisted and may need refinement.