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How to Use Synthesia for API-driven video generation
Learn Synthesia api-driven video generation with step by step workflows, realistic examples, and verified plan notes.
Synthesia works well for api-driven video generation when you run it like production work: locked brief, SOURCE facts, then chapter title card focused on accessibility tips. Confirm live plans on www.synthesia.io/pricing. Start at /explore/synthesia.
This guide focuses on api-driven video generation in detail. Related Synthesia articles: /blog/how-to-use-synthesia-for-training-and-onboarding-videos, /blog/how-to-use-synthesia-for-product-explainers-and-how-to-clips, /blog/how-to-use-synthesia-for-multilingual-videos-and-ai-dubbing.
When this workflow is the right job
Use api-driven video generation when the deliverable is specifically this Synthesia job. Switch to training and onboarding videos when that workflow already owns the asset.
Step by step workflow
1. Brief API-driven video generation
Write what must stay true for api-driven video generation in Synthesia before settings or spend.
Brief: API-driven video generation Keep: manager coaching from SOURCE Avoid: invented pricing or features Success: one reviewable output
2. Open Synthesia for API-driven video generation
Use the Synthesia surface that owns api-driven video generation. Do not mix a neighboring workflow in the same pass.
Surface: API-driven video generation Start: scene 1 welcome Plans: www.synthesia.io/pricing
3. Pilot API-driven video generation
Run a single api-driven video generation pilot. Score clarity, grounding, and whether conversational coaching still matches.
Pilot: API-driven video generation [ ] SOURCE facts match [ ] incident review clear [ ] Settings logged
4. Refine API-driven video generation
Change one api-driven video generation dimension only. Save a template with variables for handoff checklist.
Refine: API-driven video generation Change: slow zoom on UI Keep: SOURCE and sales confident
Practical api-driven video generation examples
manager coaching
Scenario: L&D needs a Synthesia api-driven video generation video covering "manager coaching" for new hires. Objective: Produce a presenter video with scene-level scripts, clear pronunciation of product terms, and regenerable scenes. Inputs: - Approved script sections for manager coaching - Avatar / voice selection - Optional on-screen labels (≤5 words) - Language/locale if dubbing later Workflow: Outline scenes → Script per scene → Generate api-driven video generation → Review audio/labels → Regen one weak scene Requirements: - One learning goal per scene; keep scenes roughly 30–60s when possible. - Phonetic-hint hard product names in manager coaching. - Prefer regenerating one scene over a full re-render. - Do not invent pricing or unsupported avatar features. Expected output: A reviewable api-driven video generation video where manager coaching is explained clearly, labels match the script, and misreads are listed for fixes.
compliance recap
Scenario: L&D needs a Synthesia api-driven video generation video covering "compliance recap" for new hires. Objective: Produce a presenter video with scene-level scripts, clear pronunciation of product terms, and regenerable scenes. Inputs: - Approved script sections for compliance recap - Avatar / voice selection - Optional on-screen labels (≤5 words) - Language/locale if dubbing later Workflow: Outline scenes → Script per scene → Generate api-driven video generation → Review audio/labels → Regen one weak scene Requirements: - One learning goal per scene; keep scenes roughly 30–60s when possible. - Phonetic-hint hard product names in compliance recap. - Prefer regenerating one scene over a full re-render. - Do not invent pricing or unsupported avatar features. Expected output: A reviewable api-driven video generation video where compliance recap is explained clearly, labels match the script, and misreads are listed for fixes.
feature walkthrough
Scenario: L&D needs a Synthesia api-driven video generation video covering "feature walkthrough" for new hires. Objective: Produce a presenter video with scene-level scripts, clear pronunciation of product terms, and regenerable scenes. Inputs: - Approved script sections for feature walkthrough - Avatar / voice selection - Optional on-screen labels (≤5 words) - Language/locale if dubbing later Workflow: Outline scenes → Script per scene → Generate api-driven video generation → Review audio/labels → Regen one weak scene Requirements: - One learning goal per scene; keep scenes roughly 30–60s when possible. - Phonetic-hint hard product names in feature walkthrough. - Prefer regenerating one scene over a full re-render. - Do not invent pricing or unsupported avatar features. Expected output: A reviewable api-driven video generation video where feature walkthrough is explained clearly, labels match the script, and misreads are listed for fixes.
support escalation
Scenario: L&D needs a Synthesia api-driven video generation video covering "support escalation" for new hires. Objective: Produce a presenter video with scene-level scripts, clear pronunciation of product terms, and regenerable scenes. Inputs: - Approved script sections for support escalation - Avatar / voice selection - Optional on-screen labels (≤5 words) - Language/locale if dubbing later Workflow: Outline scenes → Script per scene → Generate api-driven video generation → Review audio/labels → Regen one weak scene Requirements: - One learning goal per scene; keep scenes roughly 30–60s when possible. - Phonetic-hint hard product names in support escalation. - Prefer regenerating one scene over a full re-render. - Do not invent pricing or unsupported avatar features. Expected output: A reviewable api-driven video generation video where support escalation is explained clearly, labels match the script, and misreads are listed for fixes.
benefits overview
Scenario: L&D needs a Synthesia api-driven video generation video covering "benefits overview" for new hires. Objective: Produce a presenter video with scene-level scripts, clear pronunciation of product terms, and regenerable scenes. Inputs: - Approved script sections for benefits overview - Avatar / voice selection - Optional on-screen labels (≤5 words) - Language/locale if dubbing later Workflow: Outline scenes → Script per scene → Generate api-driven video generation → Review audio/labels → Regen one weak scene Requirements: - One learning goal per scene; keep scenes roughly 30–60s when possible. - Phonetic-hint hard product names in benefits overview. - Prefer regenerating one scene over a full re-render. - Do not invent pricing or unsupported avatar features. Expected output: A reviewable api-driven video generation video where benefits overview is explained clearly, labels match the script, and misreads are listed for fixes.
tool rollout
Scenario: L&D needs a Synthesia api-driven video generation video covering "tool rollout" for new hires. Objective: Produce a presenter video with scene-level scripts, clear pronunciation of product terms, and regenerable scenes. Inputs: - Approved script sections for tool rollout - Avatar / voice selection - Optional on-screen labels (≤5 words) - Language/locale if dubbing later Workflow: Outline scenes → Script per scene → Generate api-driven video generation → Review audio/labels → Regen one weak scene Requirements: - One learning goal per scene; keep scenes roughly 30–60s when possible. - Phonetic-hint hard product names in tool rollout. - Prefer regenerating one scene over a full re-render. - Do not invent pricing or unsupported avatar features. Expected output: A reviewable api-driven video generation video where tool rollout is explained clearly, labels match the script, and misreads are listed for fixes.
partner briefing
Scenario: L&D needs a Synthesia api-driven video generation video covering "partner briefing" for new hires. Objective: Produce a presenter video with scene-level scripts, clear pronunciation of product terms, and regenerable scenes. Inputs: - Approved script sections for partner briefing - Avatar / voice selection - Optional on-screen labels (≤5 words) - Language/locale if dubbing later Workflow: Outline scenes → Script per scene → Generate api-driven video generation → Review audio/labels → Regen one weak scene Requirements: - One learning goal per scene; keep scenes roughly 30–60s when possible. - Phonetic-hint hard product names in partner briefing. - Prefer regenerating one scene over a full re-render. - Do not invent pricing or unsupported avatar features. Expected output: A reviewable api-driven video generation video where partner briefing is explained clearly, labels match the script, and misreads are listed for fixes.
incident review
Scenario: L&D needs a Synthesia api-driven video generation video covering "incident review" for new hires. Objective: Produce a presenter video with scene-level scripts, clear pronunciation of product terms, and regenerable scenes. Inputs: - Approved script sections for incident review - Avatar / voice selection - Optional on-screen labels (≤5 words) - Language/locale if dubbing later Workflow: Outline scenes → Script per scene → Generate api-driven video generation → Review audio/labels → Regen one weak scene Requirements: - One learning goal per scene; keep scenes roughly 30–60s when possible. - Phonetic-hint hard product names in incident review. - Prefer regenerating one scene over a full re-render. - Do not invent pricing or unsupported avatar features. Expected output: A reviewable api-driven video generation video where incident review is explained clearly, labels match the script, and misreads are listed for fixes.
roadmap share
Scenario: L&D needs a Synthesia api-driven video generation video covering "roadmap share" for new hires. Objective: Produce a presenter video with scene-level scripts, clear pronunciation of product terms, and regenerable scenes. Inputs: - Approved script sections for roadmap share - Avatar / voice selection - Optional on-screen labels (≤5 words) - Language/locale if dubbing later Workflow: Outline scenes → Script per scene → Generate api-driven video generation → Review audio/labels → Regen one weak scene Requirements: - One learning goal per scene; keep scenes roughly 30–60s when possible. - Phonetic-hint hard product names in roadmap share. - Prefer regenerating one scene over a full re-render. - Do not invent pricing or unsupported avatar features. Expected output: A reviewable api-driven video generation video where roadmap share is explained clearly, labels match the script, and misreads are listed for fixes.
accessibility tips
Scenario: L&D needs a Synthesia api-driven video generation video covering "accessibility tips" for new hires. Objective: Produce a presenter video with scene-level scripts, clear pronunciation of product terms, and regenerable scenes. Inputs: - Approved script sections for accessibility tips - Avatar / voice selection - Optional on-screen labels (≤5 words) - Language/locale if dubbing later Workflow: Outline scenes → Script per scene → Generate api-driven video generation → Review audio/labels → Regen one weak scene Requirements: - One learning goal per scene; keep scenes roughly 30–60s when possible. - Phonetic-hint hard product names in accessibility tips. - Prefer regenerating one scene over a full re-render. - Do not invent pricing or unsupported avatar features. Expected output: A reviewable api-driven video generation video where accessibility tips is explained clearly, labels match the script, and misreads are listed for fixes.
data privacy intro
Scenario: L&D needs a Synthesia api-driven video generation video covering "data privacy intro" for new hires. Objective: Produce a presenter video with scene-level scripts, clear pronunciation of product terms, and regenerable scenes. Inputs: - Approved script sections for data privacy intro - Avatar / voice selection - Optional on-screen labels (≤5 words) - Language/locale if dubbing later Workflow: Outline scenes → Script per scene → Generate api-driven video generation → Review audio/labels → Regen one weak scene Requirements: - One learning goal per scene; keep scenes roughly 30–60s when possible. - Phonetic-hint hard product names in data privacy intro. - Prefer regenerating one scene over a full re-render. - Do not invent pricing or unsupported avatar features. Expected output: A reviewable api-driven video generation video where data privacy intro is explained clearly, labels match the script, and misreads are listed for fixes.
handoff checklist
Scenario: L&D needs a Synthesia api-driven video generation video covering "handoff checklist" for new hires. Objective: Produce a presenter video with scene-level scripts, clear pronunciation of product terms, and regenerable scenes. Inputs: - Approved script sections for handoff checklist - Avatar / voice selection - Optional on-screen labels (≤5 words) - Language/locale if dubbing later Workflow: Outline scenes → Script per scene → Generate api-driven video generation → Review audio/labels → Regen one weak scene Requirements: - One learning goal per scene; keep scenes roughly 30–60s when possible. - Phonetic-hint hard product names in handoff checklist. - Prefer regenerating one scene over a full re-render. - Do not invent pricing or unsupported avatar features. Expected output: A reviewable api-driven video generation video where handoff checklist is explained clearly, labels match the script, and misreads are listed for fixes.
localization note
Scenario: L&D needs a Synthesia api-driven video generation video covering "localization note" for new hires. Objective: Produce a presenter video with scene-level scripts, clear pronunciation of product terms, and regenerable scenes. Inputs: - Approved script sections for localization note - Avatar / voice selection - Optional on-screen labels (≤5 words) - Language/locale if dubbing later Workflow: Outline scenes → Script per scene → Generate api-driven video generation → Review audio/labels → Regen one weak scene Requirements: - One learning goal per scene; keep scenes roughly 30–60s when possible. - Phonetic-hint hard product names in localization note. - Prefer regenerating one scene over a full re-render. - Do not invent pricing or unsupported avatar features. Expected output: A reviewable api-driven video generation video where localization note is explained clearly, labels match the script, and misreads are listed for fixes.
quiz reminder
Scenario: L&D needs a Synthesia api-driven video generation video covering "quiz reminder" for new hires. Objective: Produce a presenter video with scene-level scripts, clear pronunciation of product terms, and regenerable scenes. Inputs: - Approved script sections for quiz reminder - Avatar / voice selection - Optional on-screen labels (≤5 words) - Language/locale if dubbing later Workflow: Outline scenes → Script per scene → Generate api-driven video generation → Review audio/labels → Regen one weak scene Requirements: - One learning goal per scene; keep scenes roughly 30–60s when possible. - Phonetic-hint hard product names in quiz reminder. - Prefer regenerating one scene over a full re-render. - Do not invent pricing or unsupported avatar features. Expected output: A reviewable api-driven video generation video where quiz reminder is explained clearly, labels match the script, and misreads are listed for fixes.
welcome week
Scenario: L&D needs a Synthesia api-driven video generation video covering "welcome week" for new hires. Objective: Produce a presenter video with scene-level scripts, clear pronunciation of product terms, and regenerable scenes. Inputs: - Approved script sections for welcome week - Avatar / voice selection - Optional on-screen labels (≤5 words) - Language/locale if dubbing later Workflow: Outline scenes → Script per scene → Generate api-driven video generation → Review audio/labels → Regen one weak scene Requirements: - One learning goal per scene; keep scenes roughly 30–60s when possible. - Phonetic-hint hard product names in welcome week. - Prefer regenerating one scene over a full re-render. - Do not invent pricing or unsupported avatar features. Expected output: A reviewable api-driven video generation video where welcome week is explained clearly, labels match the script, and misreads are listed for fixes.
new hire onboarding
Scenario: L&D needs a Synthesia api-driven video generation video covering "new hire onboarding" for new hires. Objective: Produce a presenter video with scene-level scripts, clear pronunciation of product terms, and regenerable scenes. Inputs: - Approved script sections for new hire onboarding - Avatar / voice selection - Optional on-screen labels (≤5 words) - Language/locale if dubbing later Workflow: Outline scenes → Script per scene → Generate api-driven video generation → Review audio/labels → Regen one weak scene Requirements: - One learning goal per scene; keep scenes roughly 30–60s when possible. - Phonetic-hint hard product names in new hire onboarding. - Prefer regenerating one scene over a full re-render. - Do not invent pricing or unsupported avatar features. Expected output: A reviewable api-driven video generation video where new hire onboarding is explained clearly, labels match the script, and misreads are listed for fixes.
security awareness
Scenario: L&D needs a Synthesia api-driven video generation video covering "security awareness" for new hires. Objective: Produce a presenter video with scene-level scripts, clear pronunciation of product terms, and regenerable scenes. Inputs: - Approved script sections for security awareness - Avatar / voice selection - Optional on-screen labels (≤5 words) - Language/locale if dubbing later Workflow: Outline scenes → Script per scene → Generate api-driven video generation → Review audio/labels → Regen one weak scene Requirements: - One learning goal per scene; keep scenes roughly 30–60s when possible. - Phonetic-hint hard product names in security awareness. - Prefer regenerating one scene over a full re-render. - Do not invent pricing or unsupported avatar features. Expected output: A reviewable api-driven video generation video where security awareness is explained clearly, labels match the script, and misreads are listed for fixes.
product demo
Scenario: L&D needs a Synthesia api-driven video generation video covering "product demo" for new hires. Objective: Produce a presenter video with scene-level scripts, clear pronunciation of product terms, and regenerable scenes. Inputs: - Approved script sections for product demo - Avatar / voice selection - Optional on-screen labels (≤5 words) - Language/locale if dubbing later Workflow: Outline scenes → Script per scene → Generate api-driven video generation → Review audio/labels → Regen one weak scene Requirements: - One learning goal per scene; keep scenes roughly 30–60s when possible. - Phonetic-hint hard product names in product demo. - Prefer regenerating one scene over a full re-render. - Do not invent pricing or unsupported avatar features. Expected output: A reviewable api-driven video generation video where product demo is explained clearly, labels match the script, and misreads are listed for fixes.
policy update
Scenario: L&D needs a Synthesia api-driven video generation video covering "policy update" for new hires. Objective: Produce a presenter video with scene-level scripts, clear pronunciation of product terms, and regenerable scenes. Inputs: - Approved script sections for policy update - Avatar / voice selection - Optional on-screen labels (≤5 words) - Language/locale if dubbing later Workflow: Outline scenes → Script per scene → Generate api-driven video generation → Review audio/labels → Regen one weak scene Requirements: - One learning goal per scene; keep scenes roughly 30–60s when possible. - Phonetic-hint hard product names in policy update. - Prefer regenerating one scene over a full re-render. - Do not invent pricing or unsupported avatar features. Expected output: A reviewable api-driven video generation video where policy update is explained clearly, labels match the script, and misreads are listed for fixes.
sales enablement
Scenario: L&D needs a Synthesia api-driven video generation video covering "sales enablement" for new hires. Objective: Produce a presenter video with scene-level scripts, clear pronunciation of product terms, and regenerable scenes. Inputs: - Approved script sections for sales enablement - Avatar / voice selection - Optional on-screen labels (≤5 words) - Language/locale if dubbing later Workflow: Outline scenes → Script per scene → Generate api-driven video generation → Review audio/labels → Regen one weak scene Requirements: - One learning goal per scene; keep scenes roughly 30–60s when possible. - Phonetic-hint hard product names in sales enablement. - Prefer regenerating one scene over a full re-render. - Do not invent pricing or unsupported avatar features. Expected output: A reviewable api-driven video generation video where sales enablement is explained clearly, labels match the script, and misreads are listed for fixes.
customer FAQ
Scenario: L&D needs a Synthesia api-driven video generation video covering "customer FAQ" for new hires. Objective: Produce a presenter video with scene-level scripts, clear pronunciation of product terms, and regenerable scenes. Inputs: - Approved script sections for customer FAQ - Avatar / voice selection - Optional on-screen labels (≤5 words) - Language/locale if dubbing later Workflow: Outline scenes → Script per scene → Generate api-driven video generation → Review audio/labels → Regen one weak scene Requirements: - One learning goal per scene; keep scenes roughly 30–60s when possible. - Phonetic-hint hard product names in customer FAQ. - Prefer regenerating one scene over a full re-render. - Do not invent pricing or unsupported avatar features. Expected output: A reviewable api-driven video generation video where customer FAQ is explained clearly, labels match the script, and misreads are listed for fixes.
How to improve api-driven video generation
Make api-driven video generation easier to review by labeling tool rollout fields that must never change in Synthesia.
Speed api-driven video generation iteration by cloning the last good Synthesia run and altering only on screen bullets.
Stabilize api-driven video generation by pinning executive brief after incident review is approved in Synthesia.
Reduce api-driven video generation rework by rejecting drafts that invent claims about roadmap share in Synthesia.
Improve api-driven video generation handoffs by recording which Synthesia control produced the accessibility tips result.
Strengthen api-driven video generation by adding a second reader who only checks data privacy intro spelling and facts in Synthesia.
Lift api-driven video generation consistency by reusing the same scene 1 welcome vocabulary across related Synthesia jobs.
Harden api-driven video generation by testing an empty or incomplete localization note input before trusting Synthesia defaults.
Prompting and usage guidance
Name the api-driven video generation job, the audience, and one measurable success check before opening Synthesia.
Paste only verified facts under SOURCE so Synthesia cannot invent details during api-driven video generation.
Specify the api-driven video generation deliverable shape up front, such as scenes, bullets, rows, or a signed note.
Call out fixed roadmap share details versus flexible scene 3 recap choices for api-driven video generation.
Close with a review line that asks Synthesia to flag unsupported claims for api-driven video generation.
Limitations to respect
Check Synthesia plan gates for api-driven video generation on www.synthesia.io/pricing before you promise timelines.
Keep api-driven video generation drafts unpublished until a human confirms SOURCE facts.
Plan and region differences can change api-driven video generation availability. Prefer official Synthesia docs.
Beta or preview labels on Synthesia mean you should pilot api-driven video generation before wide rollout.
Practical tips for this workflow
Budget a second api-driven video generation pass focused on edge cases around support escalation, not only the happy path in Synthesia.
Use official Synthesia terminology for api-driven video generation in SOPs so support recognizes scene 1 welcome requests.
Keep a api-driven video generation checklist beside Synthesia so reviewers know which product demo details stayed locked.
Pilot api-driven video generation on a tiny sample before spending Synthesia credits or executions on a full batch centered on support escalation.
When api-driven video generation fails, change only scene 2 steps instead of rewriting the entire Synthesia brief.
Document Synthesia UI labels used for api-driven video generation so handoffs about product demo do not rely on memory.
Store winning api-driven video generation settings as a template with variables only for support escalation fields in Synthesia.
Approve SOURCE facts before spending budget on api-driven video generation variants that mention data privacy intro in Synthesia.
Pair customer facing api-driven video generation exports with a human read that checks invented claims about product demo.
Log Synthesia run identifiers for api-driven video generation so ops can replay chapter title card failures without guessing.
Synthesia api-driven video generation note: after scene 2 steps, recheck policy update against SOURCE and confirm plain language still matches the brief.
Synthesia api-driven video generation note: after scene 3 recap, recheck sales enablement against SOURCE and confirm executive brief still matches the brief.
Synthesia api-driven video generation note: after avatar medium shot, recheck customer FAQ against SOURCE and confirm support desk calm still matches the brief.
Synthesia api-driven video generation note: after b roll cutaway, recheck manager coaching against SOURCE and confirm sales confident still matches the brief.
Synthesia api-driven video generation note: after on screen bullets, recheck compliance recap against SOURCE and confirm compliance precise still matches the brief.
Synthesia api-driven video generation note: after chapter title card, recheck feature walkthrough against SOURCE and confirm friendly professional tone still matches the brief.
Common mistakes
- Skipping a written brief before starting api-driven video generation in Synthesia
- Inventing pricing, credits, or features not confirmed on official Synthesia pages
- Scaling api-driven video generation volume before one successful pilot
- Mixing a different Synthesia workflow into the same api-driven video generation session
- Ignoring plan gates while scheduling api-driven video generation deadlines
- Publishing api-driven video generation output without stakeholder review
For more on api-driven video generation, see /blog/how-to-use-synthesia-for-training-and-onboarding-videos, /blog/how-to-use-synthesia-for-product-explainers-and-how-to-clips, /blog/how-to-use-synthesia-for-multilingual-videos-and-ai-dubbing. Hub: /explore/synthesia.