Turn each podcast episode into text, notes, subtitles
A podcaster uploads long-form episodes in Russian and English, then gets a speaker-labeled transcript, AI summary, and SRT subtitles for YouTube. Across production usage, SRT subtitles are generated for 96% of processed jobs.
In short
The podcaster uploads a Russian- or English-language episode to SozAI and receives a speaker-labeled transcript, an AI summary for show notes, and an SRT file for YouTube. SozAI processes a 50-minute recording in about five minutes, with word-level timestamps for subtitle timing. The same transcript supports the archive, episode notes, topic checks, and caption review.
The setup
- Who
- Podcaster producing interviews and co-hosted episodes
- Typical recording
- Long-form Russian or English audio or video
- Volume
- Episodes up to 500 MB and about 2.8 hours
- Languages
- Russian and English; 100+ supported languages
- Devices
- Website, macOS, iOS, or Android
- Export used
- SRT for YouTube; TXT, DOCX, or PDF for text
- Storage
- EU data centers; AES-256 encryption at rest
The numbers come from anonymized aggregates from SozAI production usage and the public transcript library, not one named organisation.
One recording, three publishing tasks
Publishing a full podcast episode and a YouTube version requires more than finishing the recording. The podcaster still needs a clean transcript, usable show notes, and subtitles that follow the conversation closely.
Long recordings make that work easy to postpone. Finding key topics, names, and summary points by re-listening takes time, especially when an episode includes multiple speakers or more than one language.
SRT creation also sits on the release path. Until the captions are ready, the YouTube version is not ready to publish. This composite story reflects anonymized usage patterns from real SozAI podcast and long-form media sessions.
The podcaster needed one upload to produce the text used for the transcript archive, episode notes, and captions.
The workflow in numbers
One transcript feeds the whole release
The podcaster uploads the finished audio or video to SozAI and receives a transcript with speaker labels. That is useful for interviews and co-hosted episodes: across production usage, 99% of transcripts include speaker labels.
The transcript then becomes the source for the rest of the publishing package. An AI summary provides a starting point for show notes and key points, while the generated SRT file supports the YouTube upload. The podcaster works from one text record instead of rebuilding the same information for each channel.
From recording to published assets
- 1 Upload the full podcast episode as audio or video.
- 2 Receive a transcript with speaker labels for hosts and guests.
- 3 Use the AI summary to draft show notes and key takeaways.
- 4 Export the SRT file for the YouTube version.
The recording becomes a publishing kit
One upload produces the core assets for listening, reading, and watching.
The full conversation stays searchable
The podcaster can check names, topics, and segments in the transcript instead of replaying the entire episode.
Show notes start with a draft
The AI summary gives the podcaster a first version of the key points to review and turn into episode notes.
SRT subtitles join the release
The generated SRT file gives the YouTube version a caption file without a separate transcription and captioning workflow.
Why the workflow fits podcast production
Handles long-form recordings
SozAI processes files up to 2.8 hours, covering full podcast episodes and extended interviews.
Works across languages
The same workflow supports content across 20+ languages, including the Russian and English episodes represented in this scenario.
Keeps outputs connected
The transcript supports review, editing, show-note drafting, and subtitle export without duplicating the work in separate tools.
How long each step takes
- Upload the episodeAt the start
The podcaster uploads the finished audio or video to SozAI through the website or a supported device. A file can be up to 500 MB and about 2.8 hours.
- Generate the transcriptAbout five minutes for 50 minutes of audio
SozAI transcribes at about 10x real time and produces a transcript with speaker labels and word-level timestamps.
- Review the text and summaryAfter processing completes
The podcaster checks names, topics, speaker attribution, and the AI summary before using the transcript as the source for episode notes.
- Export subtitles and textAfter review
The podcaster exports SRT for the YouTube version and can export TXT, DOCX, or PDF for the transcript archive and publishing materials.
What this workflow does not do
Audio quality affects accuracy
SozAI does not maintain around 99% word accuracy on every recording. Accuracy falls with overlapping speakers, heavy accents, background noise, and phone-quality audio.
Subtitles still need checking
SozAI does not replace a final caption review. The podcaster checks speaker labels, names, wording, and timing before publishing the SRT file.
File size and duration limits
SozAI does not accept files above 500 MB or about 2.8 hours per file. Longer episodes must be divided into separate files before processing.
Summaries are not final show notes
SozAI does not turn the AI summary into a finished editorial package without review. The podcaster adapts the summary into episode notes and verifies the key points against the transcript.
Terms used on this page
- Speaker labels
- Speaker labels identify different voices in a transcript through diarization.
- SRT
- SRT is a subtitle file format containing caption text and timing information for video platforms such as YouTube.
- Word-level timestamps
- Word-level timestamps associate transcript words with their positions in the recording for precise timing review.
- Diarization
- Diarization is the process of separating a recording into speaker-labeled sections.
A wider pattern in long-form media
This podcast case reflects a broader pattern across 5,400+ users: a transcript is often the starting point for material people can publish and reuse. In media workflows, that can mean a transcript, summary, and subtitles from the same upload.
Across production usage, SozAI has transcribed 1,360+ hours of audio in 9,600+ jobs. The story here is a composite of those anonymized usage patterns, not a single user’s account.
Answers
Questions about this workflow
How does SozAI turn a podcast episode into show notes and subtitles?
SozAI accepts the finished audio or video file and produces a transcript with speaker labels and word-level timestamps. The podcaster reviews the transcript, uses the AI summary as a draft for show notes, and exports SRT for YouTube. TXT, DOCX, and PDF exports provide text versions for an archive or publishing workflow.
How long does SozAI take to transcribe a 50-minute podcast?
SozAI transcribes at about 10x real time, so a 50-minute recording is typically ready in about five minutes. Processing time describes transcript generation; reviewing speaker labels, names, topic wording, the AI summary, and SRT captions remains part of the podcaster’s publishing process.
Does SozAI label the host and guest separately?
SozAI provides speaker labels through diarization, and 99% of transcripts produced in the app include speaker labels. The podcaster can use those labels to distinguish hosts and guests while reviewing an interview or co-hosted episode. Overlapping voices and poor recordings can reduce the accuracy of speaker separation.
Can SozAI create YouTube subtitles from a podcast?
SozAI exports an SRT file from the transcript for upload to YouTube. The captions use word-level timestamps, so the podcaster can review the timing and wording before publishing. SozAI does not remove the need to check names, overlapping speech, background-noise errors, or other caption issues in the final video.
Can SozAI transcribe podcasts in Russian and English?
SozAI supports Russian and English, along with 100+ languages, and includes automatic language detection. A podcaster can upload episodes in either language and use the resulting transcript for notes, archives, and subtitles. Accuracy still depends on recording quality, and mixed-language or overlapping speech requires review before publication.
Are podcast recordings stored securely in SozAI?
SozAI processes and stores uploaded files in EU data centers and encrypts stored data with AES-256 at rest. SozAI supports uploads from iOS, Android, macOS, and the website. Each account also receives 30 minutes of transcription per month free without a card, allowing a workflow to be tested before paid usage.
Create podcast transcripts and subtitles from your next episode
Upload one recording and get a transcript, AI summary, and SRT file for publishing.
