How to Translate and Localize a Video for YouTube: A Step-by-Step Guide

Pain Point: There’s Traffic, but No Content in the Right Language

You’ve found the perfect technical video or service review (for example, Dolphin {anty}) that fits your niche perfectly. But there are three problems:

1. Language barrier: The video is in Russian, while your target audience or monetization strategy requires Ukrainian or English.
2. Duplicate-content risk: Simply re-uploading someone else’s video is a direct route to a strike or a “Reused content” label, which kills monetization and reach.
3. Production complexity: Recording your own review from scratch takes hours of preparation, editing, and microphone setup.

Solution: Deep localization. We don’t just translate—we create a new digital product by replacing the audio track and adding multilingual subtitles, using the power of AI and a familiar video editor.

Preparation: Toolkit

We’ll need the following tools:

• yt-dlp + FFmpeg: a command-line utility for downloading videos (minimal footprint, maximum quality).
• ElevenLabs (Creator Tier)—for creating professional voiceovers in the required language. AI dubbing with preserved timing and lip sync.
• TurboScribe.ai: For obtaining a reference SRT file (based on Whisper).
• Gemini (Google AI Studio / Web): For scalable subtitle translation.

Step 1. Downloading the Source in Maximum Quality (yt-dlp)

To prevent the final video from looking like a “recompressed copy,” we use yt-dlp. It is a single executable file that does not require Python or Docker to be installed. If you don’t want to clutter your system with extra codecs and FFmpeg, yt-dlp will provide the video and audio separately. Using yt-dlp without FFmpeg installed gives us the advantage of receiving the video and audio as separate files:

• Video.webm — clean video in the best available quality (usually 1080p or 4K).
• Audio.m4a — original audio.

Terminal command:

yt-dlp -f "bestvideo+bestaudio[ext=m4a]/bestvideo+bestaudio" https://www.youtube.com/watch?v=VE4NXfNRU90

To produce a single “merged” .mp4 file, yt-dlp requires FFmpeg. Without it, the program simply downloads the video and audio into separate files because it has no built-in tools for merging them. Download the binary: Go to the gyan website (the standard source for Windows) and download the ffmpeg-git-essentials.7z archive. Extract it: You only need one file—ffmpeg.exe (located in the bin folder). Place it next to yt-dlp: Simply put ffmpeg.exe in the same folder where yt-dlp.exe is located. The yt-dlp program will automatically detect it when launched.

yt-dlp -f "bestvideo+bestaudio[ext=m4a]/bestvideo+bestaudio" --merge-output-format mp4 https://www.youtube.com/watch?v=VE4NXfNRU90

Step 2. Generating a Ukrainian Voiceover (AI Dubbing)

For videos longer than 30 minutes, the AI Dubbing tool in ElevenLabs is the best option.

• Process: Upload the downloaded MP4 → Select the source and target languages → Get a finished video with a new voiceover.
• Price: On the Creator plan (around $22/month), a 37-minute video costs approximately 112,000 credits. This is an investment in automation: the service synchronizes the voice with the speaker’s articulation and preserves background sounds. Since the original video is over 30 minutes long, translating it manually is a Sisyphean task. Translating the audio track of a 37-minute video costs approximately 112,185 credits, which is roughly $22 in ElevenLabs on the Creator plan. Quite expensive.

Step 3. Creating Reference Subtitles (TurboScribe)

For YouTube search bots to index the text, you need high-quality subtitles.

Transcription: Use free services based on OpenAI Whisper to extract the original video’s text with timecodes. TurboScribe TurboScribe is an AI-powered transcription service that provides unlimited audio and video transcription. TurboScribe converts audio and video files into text in more than 98 languages with very high accuracy. TurboScribe is essentially a “wrapper” around OpenAI’s Whisper model. Its recognition quality is excellent, making it an ideal “Swiss Army knife” for personal tasks that does not require you to configure your own environment. ElevenLabs includes the Scribe (Speech to Text) tool: Upload: Upload your .m4a file to the Scribe section. Settings: Select the source language (Russian). ElevenLabs handles technical terms such as “antidetect” and “multi-accounting” very well. Export: Download the result in SRT format (for subtitles) and TXT format (for translation).

Step 4.1. Translating SRT While Preserving Timecodes

Now we have an .srt file. Its text is divided by seconds. To avoid breaking synchronization in Camtasia, the translation must preserve a one-to-one line structure.

How to do it professionally and for free:

1. Open the .srt file in any text editor (or in VS Code).
2. Copy its contents and paste them into Gemini or ChatGPT.
3. Prompt: > “Translate this SRT file from Russian into Ukrainian. Do not change the timecodes (numbers and arrows). Preserve the technical context (antidetect browser, proxies, fingerprints). Return the answer in code format (SRT).”

It is important to preserve the SRT structure, allowing you to import it into the video editor as a single file so that the subtitles immediately “snap” into place.

Step 4.2. Multilingual SEO: Translating SRT

ElevenLabs does not accept .srt files directly in the “Text to Speech” field for voiceover generation. Its algorithm is not designed to synchronize text with existing timings through a text field. ElevenLabs has a separate AI Dubbing section. You can upload a video or audio file there, and it will automatically translate and overlay the voice while preserving the timings. The 5,000-character limit applies to a single generation iteration for unregistered users or entry-level plans.

Now this “master file” needs to be translated into six languages (English, Portuguese, Vietnamese, and others).

Two translation paths:

1. For professionals (Python + API): Use a script through Google AI Studio (Paid Tier) to process files in bulk with the Gemini model.
2. For quick work (Web): Simply copy the text from the .srt file and paste it into Gemini with the prompt from Step 4.1.

Step 5. Publishing on YouTube and SEO Upload

1. Uploading the Main File

Open YouTube Studio and start a standard upload of your MP4.

• Title and description: Enter them in Ukrainian at this stage.
• Tags: Specify keywords related to Dolphin{anty}, antidetect browsers, and multi-accounting.

2. Adding Multilingual Subtitles (The Most Important Step)

How to add subtitles through the “Languages” tab.

1. Access: In the left-hand menu of YouTube Studio, select the Languages tab and click the required video.
2. New language: Click the blue Add language button (above the list) and select the required language.
3. Upload SRT: In the row for the added language, under the “Subtitles” column, click Add → Upload file → With timing → select your file.
4. SEO (Title): In the same row, under the “Title and description” column, click Add and paste the translated title (without this, the video will not be found in that language).
5. Finish: Click Publish.
6. Process overview: Simply create one new row for each of the six languages, uploading the corresponding file and translated title. Everything published in this table is automatically indexed by search.

SEO checklist before publishing:

• Title: It should contain the target keyword in Ukrainian (for example, “Як користуватися Dolphin{anty}: повний гайд”).
• Description: At least 300 words of unique text with LSI phrases.
• Thumbnail: Be sure to create a unique thumbnail. Do not use video frames as the main image.

Conclusion

This approach allows you to produce 40 minutes of expert content in your audience’s native language in just 1–2 hours. The result will look professional and generate passive traffic to your offers.