IMPORTANT: This file contains the concatenated documentation for puter.js, a JavaScript SDK for the Puter Web OS. Use this documentation to answer questions about puter.js, its features, usage, and APIs.
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---
title: puter.ai.chat()
description: Chat with AI models, analyze images, and perform function calls using 500+ models from OpenAI, Anthropic, Google, and more.
platforms: [websites, apps, nodejs, workers]
---
Given a prompt returns the completion that best matches the prompt.
## Syntax
```js
puter.ai.chat(prompt)
puter.ai.chat(prompt, options = {})
puter.ai.chat(prompt, testMode = false, options = {})
puter.ai.chat(prompt, image, testMode = false, options = {})
puter.ai.chat(prompt, [imageURLArray], testMode = false, options = {})
puter.ai.chat([messages], testMode = false, options = {})
```
## Parameters
#### `prompt` (String)
A string containing the prompt you want to complete.
#### `options` (Object) (Optional)
An object containing the following properties:
- `model` (String) - The model you want to use for the completion. If not specified, defaults to `gpt-5-nano`. More than 500 models are available, including, but not limited to, OpenAI, Anthropic, Google, xAI, Mistral, OpenRouter, and DeepSeek. For a full list, see the [AI models list](https://developer.puter.com/ai/models/) page.
- `stream` (Boolean) - A boolean indicating whether you want to stream the completion. Defaults to `false`.
- `max_tokens` (Number) - The maximum number of tokens to generate in the completion. By default, the specific model's maximum is used.
- `temperature` (Number) - A number between 0 and 2 indicating the randomness of the completion. Lower values make the output more focused and deterministic, while higher values make it more random. By default, the specific model's temperature is used.
- `tools` (Array) (Optional) - Function definitions the AI can call. See [Function Calling](#function-calling) for details.
- `reasoning_effort` / `reasoning.effort` (String) (Optional) - Controls how much effort reasoning models spend thinking. Supported values: `none`, `minimal`, `low`, `medium`, `high`, and `xhigh`. Lower values give faster responses with less reasoning. OpenAI models only.
- `text` / `text_verbosity` (String) (Optional) - Controls how long or short responses are. Supported values: `low`, `medium`, and `high`. Lower values give shorter responses. OpenAI models only.
#### `testMode` (Boolean) (Optional)
A boolean indicating whether you want to use the test API. Defaults to `false`. This is useful for testing your code without using up API credits.
#### `image` (String | File)
A string containing the URL or Puter path of the image, or a `File` object containing the image you want to provide as context for the completion.
#### `imageURLArray` (Array)
An array of strings containing the URLs of images you want to provide as context for the completion.
#### `messages` (Array)
An array of objects containing the messages you want to complete. Each object must have a `role` and a `content` property. The `role` property must be one of `system`, `assistant`, `user`, or `tool`. The `content` property can be:
1. A string containing the message text
2. An array of content objects for multimodal messages
When using an array of content objects, each object can have:
- `type` (String) - The type of content:
- `"text"` - Text content
- `"file"` - File content
- `text` (String) - The text content (required when type is "text")
- `puter_path` (String) - The path to the file in Puter's file system (required when type is "file")
An example of a valid `messages` parameter with text only:
```js
[
{
role: "system",
content: "Hello, how are you?",
},
{
role: "user",
content: "I am doing well, how are you?",
},
];
```
An example with mixed content including files:
```js
[
{
role: "user",
content: [
{
type: "file",
puter_path: "~/Desktop/document.pdf",
},
{
type: "text",
text: "Please summarize this document",
},
],
},
];
```
Providing a messages array is especially useful for building chatbots where you want to provide context to the completion.
## Return value
Returns a `Promise` that resolves to either:
- A [`ChatResponse`](/Objects/chatresponse) object containing the chat response data, or
- An async iterable object of [`ChatResponseChunk`](/Objects/chatresponsechunk) (when `stream` is set to `true`) that you can use with a `for await...of` loop to receive the response in parts as they become available.
In case of an error, the `Promise` will reject with an error message.
## Vendors
We use different vendors for different models and try to use the best vendor available at the time of the request. Vendors include, but are not limited to, OpenAI, Anthropic, Google, xAI, Mistral, OpenRouter, and DeepSeek.
## Function Calling
Function calling (also known as tool calling) allows AI models to request data or perform actions by calling functions you define. This enables the AI to access real-time information, interact with external systems, and perform tasks beyond its training data.
1. **Define tools** - Create function specifications in the `tools` array passed to `puter.ai.chat()`
2. **AI requests a tool call** - If the AI determines it needs to call a function, it responds with a `tool_calls` array instead of a text message
3. **Execute the function** - Your code matches the requested function and runs it with the provided arguments
4. **Send the result back** - Pass the function result back to the AI with `role: "tool"`
5. **AI responds** - The AI uses the tool result to generate its final response
Tools are defined in the `tools` parameter as an array of function specifications:
- `type` (String) - Must be `"function"`
- `function.name` (String) - The function name (e.g., `"get_weather"`)
- `function.description` (String) - Description of what the function does and when to use it
- `function.parameters` (Object) - [JSON Schema](https://json-schema.org/) object defining the function's input arguments
- `function.strict` (Boolean) (Optional) - Whether to enforce strict parameter validation
When the AI wants to call a function, the response includes `message.tool_calls`. Each tool call contains:
- `id` (String) - Unique identifier for this tool call (used when sending results back)
- `function.name` (String) - The name of the function to call
- `function.arguments` (String) - JSON string containing the function arguments
After executing the function, send the result back by including a message with:
- `role` (String) - Must be `"tool"`
- `tool_call_id` (String) - The `id` from the tool call
- `content` (String) - The function result as a string
See the [Function Calling example](/playground/ai-function-calling/) for a complete working implementation.
### Web Search
Specific to OpenAI models, you can use the built-in web search tool, allowing the AI to access up-to-date information from the internet.
Pass in the `tools` parameter with the type of `web_search`.
```js
{
model: 'openai/gpt-5.2-chat',
tools: [{type: "web_search"}]
}
```
The code implementation is available in our [web search example](/playground/ai-web-search/).
List of OpenAI models that support the web search can be found in their [API compatibility documentation](https://platform.openai.com/docs/guides/tools-web-search#api-compatibility).
## Examples
Ask GPT-5 nano a question
```html;ai-chatgpt
```
Image Analysis
```html;ai-gpt-vision
```
Stream the response
```html;ai-chat-stream
```
Function Calling
```html;ai-function-calling
```
Streaming Function Calling
```html;ai-streaming-function-calling
```
Web Search
```html;ai-web-search
```
Working with Files
```html;ai-resume-analyzer
Resume Analyzer
Resume Analyzer
Upload your resume (PDF, DOC, or TXT) and get a quick analysis of your key strengths in two sentences.
Click here to upload your resume or drag and drop
```
---
title: puter.ai.img2txt()
description: Extract text from images using OCR to read printed text, handwriting, and any text-based content.
platforms: [websites, apps, nodejs, workers]
---
Given an image, returns the text contained in the image. Also known as OCR (Optical Character Recognition), this API can be used to extract text from images of printed text, handwriting, or any other text-based content. You can choose between AWS Textract (default) or Mistral’s OCR service when you need multilingual or richer annotation output.
## Syntax
```js
puter.ai.img2txt(image, testMode = false)
puter.ai.img2txt(image, options = {})
puter.ai.img2txt({ source: image, ...options })
```
## Parameters
#### `image` / `source` (String|File|Blob) (required)
A string containing the URL or Puter path, or a `File`/`Blob` object containing the source image or file. When calling with an options object, pass it as `{ source: ... }`.
#### `testMode` (Boolean) (Optional)
A boolean indicating whether you want to use the test API. Defaults to `false`. This is useful for testing your code without using up API credits.
#### `options` (Object) (Optional)
Additional settings for the OCR request. Available options depend on the provider.
| Option | Type | Description |
|--------|------|-------------|
| `provider` | `String` | The OCR backend to use. `'aws-textract'` (default) \| `'mistral'` |
| `model` | `String` | OCR model to use (provider-specific) |
| `testMode` | `Boolean` | When `true`, returns a sample response without using credits. Defaults to `false` |
#### AWS Textract Options
Available when `provider: 'aws-textract'` (default):
| Option | Type | Description |
|--------|------|-------------|
| `pages` | `Array` | Limit processing to specific page numbers (multi-page PDFs) |
For more details about each option, see the [AWS Textract documentation](https://docs.aws.amazon.com/textract/latest/dg/what-is.html).
#### Mistral Options
Available when `provider: 'mistral'`:
| Option | Type | Description |
|--------|------|-------------|
| `model` | `String` | Mistral OCR model to use |
| `pages` | `Array` | Specific pages to process. Starts from 0 |
| `includeImageBase64` | `Boolean` | Include image URLs in response |
| `imageLimit` | `Number` | Max images to extract |
| `imageMinSize` | `Number` | Minimum height and width of image to extract |
| `bboxAnnotationFormat` | `String` | Specify the format that the model must output for bounding-box annotations |
| `documentAnnotationFormat` | `String` | Specify the format that the model must output for document-level annotations |
For more details about each option, see the [Mistral OCR documentation](https://docs.mistral.ai/api/endpoint/ocr).
Any properties not set fall back to provider defaults.
## Return value
A `Promise` that will resolve to a string containing the text contained in the image.
In case of an error, the `Promise` will reject with an error message.
## Examples
Extract the text contained in an image
```html;ai-img2txt
```
---
title: puter.ai.listModelProviders()
description: Retrieve the available AI providers that Puter currently exposes.
platforms: [websites, apps, nodejs, workers]
---
Returns the AI providers that are available through Puter.js.
## Syntax
```js
puter.ai.listModelProviders()
```
## Parameters
None
## Return value
A `Promise` that will resolve to an array of string containing each AI providers.
## Examples
```html;ai-list-model-providers
```
---
title: puter.ai.listModels()
description: Retrieve the available AI chat models (and providers) that Puter currently exposes.
platforms: [websites, apps, nodejs, workers]
---
Returns the AI chat/completion models that are currently available to your app. The list is pulled from the same source as the public `/puterai/chat/models/details` endpoint and includes pricing and capability metadata where available.
## Syntax
```js
puter.ai.listModels(provider = null)
```
## Parameters
#### `provider` (String) (Optional)
A string containing the provider you want to list the models for.
## Return value
Resolves to an array of model objects. Each object always contains `id` and `provider`, and may include fields such as `name`, `aliases`, `context`, `max_tokens`, and a `cost` object (`currency`, `tokens`, `input` and `output` costs in cents). Additional provider-specific capability fields may also be present.
Example model entry:
```json
[
{
"id": "claude-opus-4-5",
"provider": "claude",
"name": "Claude Opus 4.5",
"aliases": ["claude-opus-4-5-latest"],
"context": 200000,
"max_tokens": 64000,
"cost": {
"currency": "usd-cents",
"tokens": 1000000,
"input": 500,
"output": 2500
}
}
]
```
## Examples
```html;ai-list-models
```
---
title: puter.ai.speech2speech()
description: Transform an audio clip into a different voice using ElevenLabs speech-to-speech.
platforms: [websites, apps, nodejs, workers]
---
Convert an existing recording into another voice while preserving timing, pacing, and delivery. This helper wraps the ElevenLabs voice changer endpoint so you can swap voices locally, from remote URLs, or with in-memory blobs.
## Syntax
```js
puter.ai.speech2speech(source, testMode = false)
puter.ai.speech2speech(source, options, testMode = false)
puter.ai.speech2speech({ audio: source, ...options })
```
## Parameters
#### `source` (String | File | Blob) (required unless provided in options)
Audio to convert. Accepts:
- A Puter path such as `~/recordings/line-read.wav`
- A `File` or `Blob` (converted to data URL automatically)
- A data URL (`data:audio/wav;base64,...`)
- A remote HTTPS URL
#### `options` (Object) (optional)
Fine-tune the conversion:
- `audio` (String | File | Blob): Alternate way to provide the source input.
- `voice` (String): Target ElevenLabs voice ID. Defaults to the configured ElevenLabs voice (Rachel sample if unset).
- `model` (String): Voice-changer model. Defaults to `eleven_multilingual_sts_v2`. You can also use `eleven_english_sts_v2` for English-only inputs.
- `output_format` (String): Desired output codec and bitrate, e.g. `mp3_44100_128`, `opus_48000_64`, or `pcm_48000`. Defaults to `mp3_44100_128`.
- `voice_settings` (Object|String): ElevenLabs voice settings payload (e.g. `{"stability":0.5,"similarity_boost":0.75}`).
- `seed` (Number): Randomization seed for deterministic outputs.
- `remove_background_noise` (Boolean): Apply background noise removal.
- `file_format` (String): Input file format hint (e.g. `pcm_s16le_16`) for raw PCM streams.
- `optimize_streaming_latency` (Number): Latency optimization level (0–4) forwarded to ElevenLabs.
- `enable_logging` (Boolean): Forwarded to ElevenLabs to toggle zero-retention logging behavior.
- `test_mode` (Boolean): When `true`, returns a sample response without using credits. Defaults to `false`.
#### `testMode` (Boolean) (optional)
When `true`, skips the live API call and returns a sample audio clip so you can build UI without spending credits.
## Return value
A `Promise` that resolves to an `HTMLAudioElement`. Call `audio.play()` or use the element’s `src` URL to work with the generated voice clip.
## Examples
Change the voice of a sample clip
```html;ai-speech2speech-url
```
Convert a recording stored as a file
```html;ai-speech2speech-file
```
Develop with test mode
```html
```
---
title: puter.ai.speech2txt()
description: Transcribe or translate audio into text using OpenAI speech-to-text models.
platforms: [websites, apps, nodejs, workers]
---
Converts spoken audio into text with optional English translation and diarization support. This helper wraps the Puter driver-backed OpenAI transcription API so you can work with local files, remote URLs, or in-memory blobs from the browser.
## Syntax
```js
puter.ai.speech2txt(source, testMode = false)
puter.ai.speech2txt(source, options, testMode = false)
puter.ai.speech2txt({ audio: source, ...options })
```
## Parameters
#### `source` (String | File | Blob) (required unless provided in options)
Audio to transcribe. Accepts:
- A Puter path such as `~/Desktop/meeting.mp3`
- A data URL (`data:audio/wav;base64,...`)
- A `File` or `Blob` object (converted to data URL automatically)
- A remote HTTPS URL
When you omit `source`, supply `options.file` or `options.audio` instead.
#### `options` (Object) (optional)
Fine-tune how transcription runs.
- `file` / `audio` (String | File | Blob): Alternative way to pass the audio input.
- `model` (String): One of `gpt-4o-mini-transcribe`, `gpt-4o-transcribe`, `gpt-4o-transcribe-diarize`, `whisper-1`, or any future backend-supported model. Defaults to `gpt-4o-mini-transcribe` for transcription and `whisper-1` for translation.
- `translate` (Boolean): Set to `true` to force English output (uses the translations endpoint).
- `response_format` (String): Desired output shape. Examples: `json`, `text`, `diarized_json`, `srt`, `verbose_json`, `vtt` (depends on the model).
- `language` (String): ISO language code hint for the input audio.
- `prompt` (String): Optional context for models that support prompting (all except `gpt-4o-transcribe-diarize`).
- `temperature` (Number): Sampling temperature (0–1) for supported models.
- `logprobs` (Boolean): Request token log probabilities where supported.
- `timestamp_granularities` (Array\): Include `segment` or `word` level timestamps on models that offer them (currently `whisper-1`).
- `chunking_strategy` (String): Required for `gpt-4o-transcribe-diarize` inputs longer than 30 seconds (recommend `"auto"`).
- `known_speaker_names` / `known_speaker_references` (Array): Optional diarization references encoded as data URLs.
- `extra_body` (Object): Forwarded verbatim to the OpenAI API for experimental flags.
- `stream` (Boolean): Reserved for future streaming support. Currently rejected when `true`.
- `test_mode` (Boolean): When `true`, returns a sample response without using credits. Defaults to `false`.
#### `testMode` (Boolean) (optional)
When `true`, skips the live API call and returns a static sample transcript so you can develop without consuming credits.
## Return value
Returns a `Promise` that resolves to either:
- A string (when `response_format: "text"` or you pass a shorthand `source` with no options), or
- An object of [`Speech2TxtResult`](/Objects/speech2txtresult) containing the transcription payload (including diarization segments, timestamps, etc., depending on the selected model and format).
## Examples
Transcribe a file
```html;ai-speech2txt
```
Translate to English with diarization
```html
```
Use test mode during development
```html
```
---
title: puter.ai.txt2img()
description: Generate images from text prompts using AI models like GPT Image, Nano Banana, DALL-E 3, or Grok Image.
platforms: [websites, apps, nodejs, workers]
---
Given a prompt, generate an image using AI.
## Syntax
```js
puter.ai.txt2img(prompt, testMode = false)
puter.ai.txt2img(prompt, options = {})
puter.ai.txt2img({ prompt, ...options })
```
## Parameters
#### `prompt` (String) (required)
A string containing the prompt you want to generate an image from.
#### `testMode` (Boolean) (Optional)
A boolean indicating whether you want to use the test API. Defaults to `false`. This is useful for testing your code without using up API credits.
#### `options` (Object) (Optional)
Additional settings for the generation request. Available options depend on the provider.
| Option | Type | Description |
|--------|------|-------------|
| `prompt` | `String` | Text description for the image generation |
| `provider` | `String` | The AI provider to use. `'openai-image-generation' (default) \| 'gemini' \| 'together' \| 'xai'` |
| `model` | `String` | Image model to use (provider-specific). Defaults to `'gpt-image-1-mini'` (OpenAI) or `'grok-2-image'` when `provider: 'xai'` |
| `test_mode` | `Boolean` | When `true`, returns a sample image without using credits |
#### OpenAI Options
Available when `provider: 'openai-image-generation'` or inferred from model (`gpt-image-1.5`, `gpt-image-1`, `gpt-image-1-mini`, `dall-e-3`):
| Option | Type | Description |
|--------|------|-------------|
| `model` | `String` | Image model to use. Available: `'gpt-image-1.5'`, `'gpt-image-1'`, `'gpt-image-1-mini'`, `'dall-e-3'` |
| `quality` | `String` | Image quality. For GPT models: `'high'`, `'medium'`, `'low'` (default: `'low'`). For DALL-E 3: `'hd'`, `'standard'` (default: `'standard'`) |
| `ratio` | `Object` | Aspect ratio with `w` and `h` properties |
For more details, see the [OpenAI API reference](https://platform.openai.com/docs/api-reference/images/create).
#### Gemini Options
Available when `provider: 'gemini'` or inferred from model (`gemini-2.5-flash-image-preview`, `gemini-3-pro-image-preview`):
| Option | Type | Description |
|--------|------|-------------|
| `model` | `String` | Image model to use. |
| `ratio` | `Object` | Currently only `{ w: 1024, h: 1024 }` is supported |
| `input_image` | `String` | Base64 encoded input image for image-to-image generation |
| `input_image_mime_type` | `String` | MIME type of the input image. Options: `'image/png'`, `'image/jpeg'`, `'image/jpg'`, `'image/webp'` |
#### xAI (Grok) Options
Available when `provider: 'xai'` or inferred from model (`grok-2-image`, alias `grok-image`):
| Option | Type | Description |
|--------|------|-------------|
| `model` | `String` | Image model to use. Available: `'grok-2-image'` (default) |
| `prompt` | `String` | Text prompt for the image. Grok Image does not support quality/size overrides; pricing is $0.07 per generated image. |
#### Together Options
Available when `provider: 'together'` or inferred from model:
| Option | Type | Description |
|--------|------|-------------|
| `model` | `String` | The model to use for image generation. |
| `width` | `Number` | Width of the image to generate in number of pixels. Default: `1024` |
| `height` | `Number` | Height of the image to generate in number of pixels. Default: `1024` |
| `aspect_ratio` | `String` | Alternative way to specify aspect ratio |
| `steps` | `Number` | Number of generation steps. Default: `20` |
| `seed` | `Number` | Seed used for generation. Can be used to reproduce image generations |
| `negative_prompt` | `String` | The prompt or prompts not to guide the image generation |
| `n` | `Number` | Number of image results to generate. Default: `1` |
| `image_url` | `String` | URL of an image to use for image models that support it |
| `image_base64` | `String` | Base64 encoded input image for image-to-image generation |
| `mask_image_url` | `String` | URL of mask image for inpainting |
| `mask_image_base64` | `String` | Base64 encoded mask image for inpainting |
| `prompt_strength` | `Number` | How strongly the prompt influences the output |
| `disable_safety_checker` | `Boolean` | If `true`, disables the safety checker for image generation |
| `response_format` | `String` | Format of the image response. Can be either a base64 string or a URL. Options: `'base64'`, `'url'` |
For more details, see the [Together AI API reference](https://docs.together.ai/reference/post-images-generations).
Any properties not set fall back to provider defaults.
## Return value
A `Promise` that resolves to an `HTMLImageElement`. The element’s `src` points at a data URL containing the image.
## Examples
Generate an image of a cat using AI
```html;ai-txt2img
```
Generate an image with specific model and quality
```html;ai-txt2img-options
```
Generate an image with image-to-image generation
```html;ai-txt2img-image-to-image
```
---
title: puter.ai.txt2speech()
description: Convert text to speech with AI using multiple languages, voices, and engine types.
platforms: [websites, apps, nodejs, workers]
---
Converts text into speech using AI. Supports multiple languages and voices.
## Syntax
```js
puter.ai.txt2speech(text, testMode = false)
puter.ai.txt2speech(text, options)
puter.ai.txt2speech(text, language, testMode = false)
puter.ai.txt2speech(text, language, voice, testMode = false)
puter.ai.txt2speech(text, language, voice, engine, testMode = false)
```
## Parameters
#### `text` (String) (required)
A string containing the text you want to convert to speech. The text must be less than 3000 characters long. Defaults to AWS Polly provider when no options are provided.
#### `testMode` (Boolean) (optional)
When `true`, the call returns a sample audio so you can perform tests without incurring usage. Defaults to `false`.
#### `options` (Object) (optional)
Additional settings for the generation request. Available options depend on the provider.
| Option | Type | Description |
|--------|------|-------------|
| `provider` | `String` | TTS provider to use. `'aws-polly'` (default), `'openai'`, `'elevenlabs'` |
| `model` | `String` | Model identifier (provider-specific) |
| `voice` | `String` | Voice ID used for synthesis (provider-specific) |
| `test_mode` | `Boolean` | When `true`, returns a sample audio without using credits |
#### AWS Polly Options
Available when `provider: 'aws-polly'` (default):
| Option | Type | Description |
|--------|------|-------------|
| `voice` | `String` | Voice ID. Defaults to `'Joanna'`. See [available voices](https://docs.aws.amazon.com/polly/latest/dg/available-voices.html) |
| `engine` | `String` | Synthesis engine. Available: `'standard'` (default), `'neural'`, `'long-form'`, `'generative'` |
| `language` | `String` | Language code. Defaults to `'en-US'`. See [supported languages](https://docs.aws.amazon.com/polly/latest/dg/supported-languages.html) |
| `ssml` | `Boolean` | When `true`, text is treated as SSML markup |
#### OpenAI Options
Available when `provider: 'openai'`:
| Option | Type | Description |
|--------|------|-------------|
| `model` | `String` | TTS model. Available: `'gpt-4o-mini-tts'` (default), `'tts-1'`, `'tts-1-hd'` |
| `voice` | `String` | Voice ID. Available: `'alloy'` (default), `'ash'`, `'ballad'`, `'coral'`, `'echo'`, `'fable'`, `'nova'`, `'onyx'`, `'sage'`, `'shimmer'` |
| `response_format` | `String` | Output format. Available: `'mp3'` (default), `'wav'`, `'opus'`, `'aac'`, `'flac'`, `'pcm'` |
| `instructions` | `String` | Additional guidance for voice style (tone, speed, mood, etc.) |
For more details about each option, see the [OpenAI TTS API reference](https://platform.openai.com/docs/api-reference/audio/createSpeech).
#### ElevenLabs Options
Available when `provider: 'elevenlabs'`:
| Option | Type | Description |
|--------|------|-------------|
| `model` | `String` | TTS model. Available: `'eleven_multilingual_v2'` (default), `'eleven_flash_v2_5'`, `'eleven_turbo_v2_5'`, `'eleven_v3'` |
| `voice` | `String` | Voice ID. Defaults to `'21m00Tcm4TlvDq8ikWAM'` (Rachel sample voice) |
| `output_format` | `String` | Output format. Defaults to `'mp3_44100_128'` |
| `voice_settings` | `Object` | Voice tuning options (stability, similarity boost, speed) |
For more details about each option, see the [ElevenLabs API reference](https://elevenlabs.io/docs/api-reference/text-to-speech).
## Return value
A `Promise` that resolves to an `HTMLAudioElement`. The element’s `src` points at a blob or remote URL containing the synthesized audio.
## Examples
Convert text to speech (Shorthand)
```html;ai-txt2speech
```
Convert text to speech using options
```html;ai-txt2speech-options
```
Use OpenAI voices
```html;ai-txt2speech-openai
```
Use ElevenLabs voices
```html;ai-txt2speech-elevenlabs
```
Compare different engines
```html;ai-txt2speech-engines
Text-to-Speech Engine Comparison
```
---
title: puter.ai.txt2vid()
description: Generate short-form videos with AI models through Puter.js.
platforms: [websites, apps, nodejs, workers]
---
Create AI-generated video clips directly from text prompts.
## Syntax
```js
puter.ai.txt2vid(prompt, testMode = false)
puter.ai.txt2vid(prompt, options = {})
puter.ai.txt2vid({prompt, ...options})
```
## Parameters
#### `prompt` (String) (required)
The text description that guides the video generation.
#### `testMode` (Boolean) (optional)
When `true`, the call returns a sample video so you can test your UI without incurring usage. Defaults to `false`.
#### `options` (Object) (optional)
Additional settings for the generation request. Available options depend on the provider.
| Option | Type | Description |
|--------|------|-------------|
| `prompt` | `String` | Text description for the video generation |
| `provider` | `String` | The AI provider to use. `'openai' (default) \| 'together'` |
| `model` | `String` | Video model to use (provider-specific). Defaults to `'sora-2'` |
| `seconds` | `Number` | Target clip length in seconds |
| `test_mode` | `Boolean` | When `true`, returns a sample video without using credits |
#### OpenAI Options
Available when `provider: 'openai'` or inferred from model (`sora-2`, `sora-2-pro`):
| Option | Type | Description |
|--------|------|-------------|
| `model` | `String` | Video model to use. Available: `'sora-2'`, `'sora-2-pro'` |
| `seconds` | `Number` | Target clip length in seconds. Available: `4`, `8`, `12` |
| `size` | `String` | Output resolution (e.g., `'720x1280'`, `'1280x720'`, `'1024x1792'`, `'1792x1024'`). `resolution` is an alias |
| `input_reference` | `File` | Optional image reference that guides generation. |
For more details about each option, see the [OpenAI API reference](https://platform.openai.com/docs/api-reference/videos/create).
#### TogetherAI Options
Available when `provider: 'together'` or inferred from model:
| Option | Type | Description |
|--------|------|-------------|
| `width` | `Number` | Output video width in pixels |
| `height` | `Number` | Output video height in pixels |
| `fps` | `Number` | Frames per second |
| `steps` | `Number` | Number of inference steps |
| `guidance_scale` | `Number` | How closely to follow the prompt |
| `seed` | `Number` | Random seed for reproducible results |
| `output_format` | `String` | Output format for the video |
| `output_quality` | `Number` | Quality level of the output |
| `negative_prompt` | `String` | Text describing what to avoid in the video |
| `reference_images` | `Array` | Reference images to guide the generation |
| `frame_images` | `Array