Generate video from a text prompt through one endpoint. Send a model_id and a prompt, poll, get an MP4 back — and swap Veo, Kling or Seedance with a single field. A developer text-to-video API, not a one-model consumer tool.
You don't integrate a new SDK for every text-to-video model. There is a single job endpoint: change the model_id and the same prompt runs on a different model. Budget to premium, all on one SamAutomation key.
Submit POST /api/ai/jobs with a model_id and a text prompt. The response is a job id you poll — or a webhook that pushes the finished video to your stack.
Move from "veo-3-1" to "kling-3-0" by editing a single field. Same prompt, same call — a different model and a different look, no re-integration.
Pipe the generated clip straight into JSON-to-video to add voice-over, captions and other media — text prompt in, finished render out.
Every clip below was generated from a text prompt through this same API — real output, not stock footage. Send a prompt to any of these models and get a moving clip back; switch the model_id to change the model.
Different text-to-video models are good at different things. Pick by what the shot needs — then change one field to run it. Full capabilities and credit costs live on each model's page.
When you want film-grade motion and synced audio from a prompt, Veo handles cinematic shots and sound together.
For longer, director-grade sequences with multiple shots and tighter motion control, Kling holds a scene together.
When a job mixes text and image inputs, Seedance is a strong multimodal text-to-video generator for flexible prompts.
When you need an editing-suite feel — generate plus refine and iterate on the result — Wan gives you more control over the output.
Because it's an API, generating video from text becomes a step in a pipeline — a backend job or an n8n flow, not a person in an editor.
Loop over a list of prompts, submit one text-to-video job each, and collect the clips by webhook — a whole batch of short-form video ships from one run.
Drive faceless channels by generating B-roll and scenes from text, then compositing voice-over and captions with JSON-to-video — no camera, no editor.
Draft on a budget-tier model to lock the prompt cheaply, then switch the model_id to a premium tier for the final render — same call, production quality.
Most model families ship in tiers. Test your prompt on a cheap Lite or Fast variant, lock it, then switch the model_id to the Pro tier for the production render — same endpoint, same payload.
cheap to prototype → premium to ship
Each tier's exact credit cost is in GET /api/ai/models, so cost is never a surprise. See plans & credits →
New to this? Read The developer's guide to text-to-video APIs →
A text-to-video AI API generates footage from a written prompt. A speech to video API usually starts with a script or audio track, then combines voice, visuals and captions. Those are separate jobs even when one endpoint hides the pipeline.
| Tool | Main job | Typical output |
| Text-to-video API | Generate moving footage from a prompt | Video clip |
| Image-to-video AI API | Animate a supplied image | Video clip based on the reference |
| TTS or voice API | Turn text into spoken audio | Audio file or stream |
| Web Speech API | Use speech recognition or speech synthesis in a browser | Recognized text or spoken browser audio |
| JSON-to-video renderer | Combine clips, audio, captions and exact on-screen text | Finished video |
Use the AI video API guide to compare generation workflows before choosing an endpoint.
A text-to-video API with narration and captions included can look like one request from your app. Underneath, it still has to generate or select footage, create the voice track, calculate caption timing and render the final timeline.
This method works from Python, Android or an automation tool because the client only sends HTTP requests. On Android, keep provider keys on your server. Do not place an ElevenLabs API key or video API key inside the app package.
For the final assembly step, build narration and captions into a JSON-to-video timeline.
If you already have spoken audio, generate timed captions with the AutoCaptions workflow.
An ElevenLabs API key belongs in a server-side environment variable or secret store. Never paste it into browser JavaScript, an Android binary or a public GitHub repository. An “ElevenLabs API key GitHub” search may find sample variable names, but a real exposed key should be revoked instead of reused.
Speech to video API free plans, AI video generator API free plans and voice API free plans usually limit usage through credits, characters, executions, render time, output settings or queued access. Terms and rates change. Check the provider dashboard before designing your workflow around a free allowance.
GitHub projects can give you request code or a self-hosted pipeline. They do not make paid model inference free. A text to video AI API GitHub repository may still require separate model access, compute, storage and API keys.
Prompt AI text-to-video with one shot at a time. Name the subject, action, setting, camera movement, framing and light. Avoid a long story with several locations or scene changes in one request.
A red bicycle leaning against a brick wall after rain, close shot, slow push-in, soft morning light.
Generate exact titles, prices and captions in the render stage rather than asking the video model to draw them. This gives you editable text and cleaner timing. For a current list of available generators, compare the text-to-video and image-to-video models.
A free AI text to video generator for YouTube Shorts is useful for testing an idea by hand. An API is the better fit when scripts come from a database, every result needs the same format or you need automatic retries and status checks.
Claims such as “100% free text to video AI,” “text to video AI free unlimited,” “without login” or “without watermark” need checking on the provider’s current export screen. Video generation uses compute, so an unlimited offer may still restrict queues, models, resolution, duration, downloads or commercial use.
Gemini can create video from text only where the relevant video model and access route are available to your account. Product names, regions, limits and API settings can shift between releases, so inspect the current model documentation before writing the integration.
Yes. Generative APIs create footage from a prompt, while rendering APIs assemble supplied text, images, audio and clips. Use generation for visual scenes and a renderer when narration, captions or exact branding must stay predictable.
Yes. Several AI video models accept a written prompt and return a generated clip. Model availability, supported durations and output settings change, so fetch the live model list instead of hard-coding assumptions.
Send the script or audio with an HTTP client, store the returned job ID and poll the status endpoint or wait for a webhook. Keep the speech to video API key in an environment variable and set timeouts so a stalled render does not leave the script running forever.
The Web Speech API is a browser interface, not a complete video service. Browser support and the speech engine behind it can vary, so test the Web Speech API demo in every browser you plan to support.
In browser code, this usually means speech recognition exposed through the Web Speech API in Chrome. A text to speech browser API handles the opposite direction by speaking text aloud. Support, permissions and available voices can change with browser releases.
Some providers offer a free allowance, but there is no universal free TTS API. ElevenLabs TTS API usage and other voice services may be measured per character, request, credit or generated audio unit, and rates can change.
Create the key only through your own ElevenLabs account if your current plan permits API access. Do not use keys posted on GitHub or shared by strangers; they may be stolen, revoked or tied to someone else’s billing.
Yes, your application can expose one endpoint for the whole job. Behind it, footage generation, speech synthesis, caption timing and final rendering remain separate steps. That separation makes failed audio or captions easier to retry without generating the footage again.
Yes, but the Android app should call your backend rather than hold paid provider keys itself. Your backend submits the job, tracks its status and returns a safe result URL to the app.
Some services provide trial credits or limited access. Usage may be charged per execution, render duration, operation or credit, and those rates change. A reference image improves control but does not guarantee that logos, faces or product details remain exact.
Offers change too often to promise one. Check the current download rules, commercial-use terms, queue limits and output settings before uploading private material. A tool that removes the login or watermark may restrict something else.
It can where Google has enabled the relevant video model and access method for your account. Check the current Gemini or model documentation for availability, accepted inputs and API access because these settings move between releases.
TTS free tiers exist and are capped by characters per month, with a limited voice list. If the same voice has to appear in every video for a year, budget for a paid one — free voice line-ups change without notice.
One key for every leading text-to-video model — Veo, Kling, Seedance, Wan and more. Documented, webhook-ready, built for your pipeline.