InfoSphere/Spring AI 1.1.9-SNAPSHOT/ 返回书籍
Transcription API

OpenAI

qianmoQqianmoQ· 更新于 2026-09-20· 阅读 28 分钟· 0 次阅读

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This version is still in development and is not considered stable yet. For the latest stable version, please use Spring AI 2.0.1!

OpenAI Transcriptions

Spring AI supports OpenAI’s Transcription model.

Prerequisites

You will need to create an API key with OpenAI to access ChatGPT models. Create an account at OpenAI signup page and generate the token on the API Keys page. The Spring AI project defines a configuration property named spring.ai.openai.api-key that you should set to the value of the API Key obtained from openai.com. Exporting an environment variable is one way to set that configuration property:

Auto-configuration

There has been a significant change in the Spring AI auto-configuration, starter modules' artifact names. Please refer to the upgrade notes for more information.

Spring AI provides Spring Boot auto-configuration for the OpenAI Transcription Client. To enable it add the following dependency to your project’s Maven pom.xml file:

<dependency>
    <groupId>org.springframework.ai</groupId>
    <artifactId>spring-ai-starter-model-openai</artifactId>
</dependency>

or to your Gradle build.gradle build file.

dependencies {
    implementation 'org.springframework.ai:spring-ai-starter-model-openai'
}
Refer to the Dependency Management section to add the Spring AI BOM to your build file.

Transcription Properties

Connection Properties

The prefix spring.ai.openai is used as the property prefix that lets you connect to OpenAI.

PropertyDescriptionDefault
spring.ai.openai.base-urlThe URL to connect toapi.openai.com
spring.ai.openai.api-keyThe API Key-
spring.ai.openai.organization-idOptionally you can specify which organization used for an API request.-
spring.ai.openai.project-idOptionally, you can specify which project is used for an API request.-
For users that belong to multiple organizations (or are accessing their projects through their legacy user API key), optionally, you can specify which organization and project is used for an API request. Usage from these API requests will count as usage for the specified organization and project.

Configuration Properties

Enabling and disabling of the audio transcription auto-configurations are now configured via top level properties with the prefix spring.ai.model.audio.transcription.

To enable, spring.ai.model.audio.transcription=openai (It is enabled by default)

To disable, spring.ai.model.audio.transcription=none (or any value which doesn’t match openai)

This change is done to allow configuration of multiple models.

The prefix spring.ai.openai.audio.transcription is used as the property prefix that lets you configure the retry mechanism for the OpenAI transcription model.

PropertyDescriptionDefault
spring.ai.model.audio.transcriptionEnable OpenAI Audio Transcription Modelopenai
spring.ai.openai.audio.transcription.base-urlThe URL to connect toapi.openai.com
spring.ai.openai.audio.transcription.api-keyThe API Key-
spring.ai.openai.audio.transcription.organization-idOptionally you can specify which organization used for an API request.-
spring.ai.openai.audio.transcription.project-idOptionally, you can specify which project is used for an API request.-
spring.ai.openai.audio.transcription.options.modelID of the model to use for transcription. Available models: gpt-4o-transcribe (speech-to-text powered by GPT-4o), gpt-4o-mini-transcribe (speech-to-text powered by GPT-4o mini), or whisper-1 (general-purpose speech recognition model, default).whisper-1
spring.ai.openai.audio.transcription.options.response-formatThe format of the transcript output, in one of these options: json, text, srt, verbose_json, or vtt.json
spring.ai.openai.audio.transcription.options.promptAn optional text to guide the model’s style or continue a previous audio segment. The prompt should match the audio language.
spring.ai.openai.audio.transcription.options.languageThe language of the input audio. Supplying the input language in ISO-639-1 format will improve accuracy and latency.
spring.ai.openai.audio.transcription.options.temperatureThe sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. If set to 0, the model will use log probability to automatically increase the temperature until certain thresholds are hit.0
spring.ai.openai.audio.transcription.options.timestamp_granularitiesThe timestamp granularities to populate for this transcription. response_format must be set verbose_json to use timestamp granularities. Either or both of these options are supported: word, or segment. Note: There is no additional latency for segment timestamps, but generating word timestamps incurs additional latency.segment
You can override the common spring.ai.openai.base-url, spring.ai.openai.api-key, spring.ai.openai.organization-id and spring.ai.openai.project-id properties. The spring.ai.openai.audio.transcription.base-url, spring.ai.openai.audio.transcription.api-key, spring.ai.openai.audio.transcription.organization-id and spring.ai.openai.audio.transcription.project-id properties if set take precedence over the common properties. This is useful if you want to use different OpenAI accounts for different models and different model endpoints.
All properties prefixed with spring.ai.openai.transcription.options can be overridden at runtime.

Runtime Options

The OpenAiAudioTranscriptionOptions class provides the options to use when making a transcription. On start-up, the options specified by spring.ai.openai.audio.transcription are used but you can override these at runtime.

For example:

OpenAiAudioApi.TranscriptResponseFormat responseFormat = OpenAiAudioApi.TranscriptResponseFormat.VTT;

OpenAiAudioTranscriptionOptions transcriptionOptions = OpenAiAudioTranscriptionOptions.builder()
    .language("en")
    .prompt("Ask not this, but ask that")
    .temperature(0f)
    .responseFormat(this.responseFormat)
    .build();
AudioTranscriptionPrompt transcriptionRequest = new AudioTranscriptionPrompt(audioFile, this.transcriptionOptions);
AudioTranscriptionResponse response = openAiTranscriptionModel.call(this.transcriptionRequest);

Manual Configuration

Add the spring-ai-openai dependency to your project’s Maven pom.xml file:

<dependency>
    <groupId>org.springframework.ai</groupId>
    <artifactId>spring-ai-openai</artifactId>
</dependency>

or to your Gradle build.gradle build file.

dependencies {
    implementation 'org.springframework.ai:spring-ai-openai'
}
Refer to the Dependency Management section to add the Spring AI BOM to your build file.

Next, create a OpenAiAudioTranscriptionModel

var openAiAudioApi = new OpenAiAudioApi(System.getenv("OPENAI_API_KEY"));

var openAiAudioTranscriptionModel = new OpenAiAudioTranscriptionModel(this.openAiAudioApi);

var transcriptionOptions = OpenAiAudioTranscriptionOptions.builder()
    .responseFormat(TranscriptResponseFormat.TEXT)
    .temperature(0f)
    .build();

var audioFile = new FileSystemResource("/path/to/your/resource/speech/jfk.flac");

AudioTranscriptionPrompt transcriptionRequest = new AudioTranscriptionPrompt(this.audioFile, this.transcriptionOptions);
AudioTranscriptionResponse response = openAiTranscriptionModel.call(this.transcriptionRequest);

Example Code

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