ElevenLabs and AI voice workflows save time when every step is defined: a script written for speech, a pronunciation dictionary, a fixed voice and settings per brand, batch generation, a listening review and a clear file handover to video editors. Teams that skip these steps end up regenerating the same lines repeatedly and fixing mispronounced names in every project.
ElevenLabs provides text-to-speech, voice cloning, dubbing, speech-to-text and conversational agent tools through a web studio and an API. The workflows below also apply to similar services such as Google Cloud Text-to-Speech, Microsoft Azure Speech and Amazon Polly, with different menus.
Workflow 1: Voiceover for short social videos
This is the most common marketing use. The goal is a 15 to 60 second voiceover delivered to the editor on the same day as the brief.
- Write the script in spoken style: short sentences, numbers written as they are said, brand names spelled the way they should sound.
- Paste into the text-to-speech tool and select the brand’s approved voice.
- Use saved settings for stability and similarity so every video sounds alike.
- Generate two or three takes and pick the best, or regenerate single sentences that sound off.
- Export in the format the editor needs, often WAV for editing or MP3 for quick review.
- Name files consistently, for example brand_campaign_platform_v1.
Keeping voice and settings fixed is the biggest time saver. When each project starts from scratch, tone drifts and reviewers ask for changes that are really about consistency.
Workflow 2: Building a pronunciation dictionary
Mispronounced names waste more time than any other issue. ElevenLabs supports pronunciation dictionaries, and other platforms support SSML or lexicons, which tell the voice how to say specific words.
Steps
- Collect every brand name, product name, place name and technical term your scripts use.
- Generate each word alone and listen.
- For each mistake, add an alias (a phonetic respelling) or phoneme rule.
- Save the dictionary and attach it to every project.
- Update it whenever a new product or campaign name appears.
For Turkish brands working in English, names with characters like ş, ğ and ı are frequent problems. A respelling such as “Shishli” for Şişli often fixes the English voice instantly.
Workflow 3: Long-form audio from articles
Turning blog posts or guides into audio gives visitors another way to consume content. Long texts need more structure than short scripts.
Split the article into sections and generate each separately; this makes fixes faster because you only regenerate the section with a problem. Remove elements that do not work aloud, such as tables, URLs and “click here” phrases, or rewrite them. ElevenLabs’ Studio (previously called Projects) is designed for long-form work and lets you manage chapters and regenerate parts.
Add a short spoken intro and outro that stay the same across all articles. Listeners recognise the format and production gets faster.
Workflow 4: Dubbing into other languages
ElevenLabs offers automatic dubbing that translates speech and keeps a voice similar to the original speaker. For marketing videos, a careful process prevents errors.
- Start from a clean audio track, ideally with music and voice on separate tracks.
- Run dubbing into the target language.
- Have a native speaker review the translated script, not just the audio.
- Fix translation errors in the editable transcript and regenerate affected segments.
- Check timing: translated lines may be longer and need trimming to fit scenes.
- Get written consent from anyone whose voice is being reproduced in another language.
Machine translation handles general content well but often misses idioms, local references and legal terms. Never publish a dubbed ad without native review.
Workflow 5: Review and approval
A defined review stops endless feedback loops. The reviewer listens on both headphones and a phone speaker, checks the script against the audio word by word, and marks issues with timestamps. Common checks include mispronunciations, unnatural pauses, wrong emphasis, volume jumps between sentences and audio artefacts.
Agree on one round of feedback and one revision as the norm. If more rounds are needed, the problem is usually the script, not the voice.
How can the API speed things up?
When volume is high, such as hundreds of product clips or localised versions, the ElevenLabs API can generate audio in bulk from a spreadsheet or content management system. A typical pipeline reads script text from a Google Sheet, calls the API with the brand’s voice ID and settings, saves files to cloud storage with consistent names, and posts a link to Slack for review. Automation tools like n8n or Zapier can connect these steps without much custom code.
Set usage limits in your account, because a loop error can consume your character allowance quickly.
How do you keep the workflow from slowing down again?
Workflows decay when nobody maintains them. Assign one person to own the voice settings, the pronunciation dictionary and the script templates. Review them every quarter, remove templates nobody uses, and add new names as products launch. Keep a short log of recurring review comments; if the same comment appears three times, change the template or the dictionary so it never needs repeating.
How Alien Road applies ElevenLabs and AI voice workflows
In a typical engagement, discovery reviews how the client currently produces voiceovers: who writes scripts, how long recordings take, and how many revisions happen. We also collect every brand and product name for the pronunciation dictionary.
Setup includes selecting or, with documented consent, cloning the brand voice, saving fixed settings, building the dictionary and writing script templates for each format. For larger volumes, we connect a spreadsheet or CMS to the API with automatic file naming and review notifications.
For measurement, we compare time from brief to finished audio and the number of revision rounds before and after the workflow. Reporting each month shows clips produced, average turnaround and recurring issues, which feed back into the dictionary and templates.
Where to start this week
List the twenty names and terms that appear most often in your scripts. Generate each one with your chosen voice, fix the ones that sound wrong in a pronunciation dictionary, and save your voice settings as the default. Then produce your next social voiceover using that setup and time it. The dictionary alone will save time on every project that follows.
Keep reading: Video Production · AI Marketing