Documentation Index
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HasteKit SDK supports speech-to-text transcription with various LLM providers like OpenAI, Gemini, and ElevenLabs.
Transcribe audio
Transcribe audio from a file. The audio data is sent as raw bytes along with the filename for MIME type detection.
import (
"context"
"fmt"
"log"
"os"
"github.com/hastekit/hastekit-sdk-go/pkg/gateway/llm/transcription"
)
// Read audio file
audio, err := os.ReadFile("recording.mp3")
if err != nil {
log.Fatal(err)
}
resp, err := client.NewTranscription(context.Background(), &transcription.Request{
Model: "OpenAI/whisper-1",
Audio: audio,
AudioFilename: "recording.mp3",
})
if err != nil {
log.Fatal(err)
}
fmt.Println("Transcription:", resp.Text)
Response
The response contains the transcribed text along with optional metadata like language, duration, word-level timestamps, and segments.
// Access transcribed text
fmt.Println("Text:", resp.Text)
// Access detected language
if resp.Language != nil {
fmt.Println("Language:", *resp.Language)
}
// Access audio duration
if resp.Duration != nil {
fmt.Printf("Duration: %.2f seconds\n", *resp.Duration)
}
// Access usage statistics
if resp.Usage != nil {
fmt.Printf("Tokens used: %d\n", resp.Usage.TotalTokens)
}
Word-level timestamps
Request word-level timestamps for precise timing information.
resp, err := client.NewTranscription(context.Background(), &transcription.Request{
Model: "OpenAI/whisper-1",
Audio: audio,
AudioFilename: "recording.mp3",
ResponseFormat: utils.Ptr("verbose_json"),
TimestampGranularities: []string{"word"},
})
if err != nil {
log.Fatal(err)
}
for _, word := range resp.Words {
fmt.Printf("[%.2fs - %.2fs] %s\n", word.Start, word.End, word.Word)
}
Segment-level timestamps
Request segment-level timestamps for paragraph or sentence-level timing.
resp, err := client.NewTranscription(context.Background(), &transcription.Request{
Model: "OpenAI/whisper-1",
Audio: audio,
AudioFilename: "recording.mp3",
ResponseFormat: utils.Ptr("verbose_json"),
TimestampGranularities: []string{"segment"},
})
if err != nil {
log.Fatal(err)
}
for _, seg := range resp.Segments {
fmt.Printf("[%.2fs - %.2fs] %s\n", seg.Start, seg.End, seg.Text)
}
Request Configuration
| Parameter | Type | Description |
|---|
| Audio | []byte | Raw audio data to transcribe. |
| AudioFilename | string | Filename for the audio file (e.g., "audio.mp3"). Used for MIME type detection. |
| Model | string | The model to use for transcription (e.g., "OpenAI/whisper-1"). |
| Language | *string | Optional. Language of the input audio in ISO-639-1 format (e.g., "en", "es"). |
| Prompt | *string | Optional. Text to guide the model’s style or continue a previous audio segment. |
| ResponseFormat | *string | Optional. Output format: "json", "text", "srt", "verbose_json", or "vtt". |
| Temperature | *float64 | Optional. Sampling temperature between 0 and 1. Lower values are more deterministic. |
| TimestampGranularities | []string | Optional. Timestamp granularities: "word", "segment". Requires verbose_json format. |
Response Structure
| Field | Type | Description |
|---|
| Text | string | The transcribed text. |
| Language | *string | Detected language of the audio. |
| Duration | *float64 | Duration of the audio in seconds. |
| Words | []Word | Word-level timestamps (when requested). |
| Segments | []Segment | Segment-level timestamps (when requested). |
| Usage | *Usage | Token usage statistics. |
Word
| Field | Type | Description |
|---|
| Word | string | The transcribed word. |
| Start | float64 | Start time in seconds. |
| End | float64 | End time in seconds. |
Segment
| Field | Type | Description |
|---|
| ID | int | Segment index. |
| Seek | int | Seek offset of the segment. |
| Start | float64 | Start time in seconds. |
| End | float64 | End time in seconds. |
| Text | string | Transcribed text of the segment. |
| Temperature | float64 | Temperature used for this segment. |
| AvgLogprob | float64 | Average log probability of the segment. |
| CompressionRatio | float64 | Compression ratio of the segment. |
| NoSpeechProb | float64 | Probability that the segment contains no speech. |
Usage
| Field | Type | Description |
|---|
| PromptTokens | int | Number of input tokens processed. |
| CompletionTokens | int | Number of output tokens generated. |
| TotalTokens | int | Total tokens used. |
Example: Complete Transcription
package main
import (
"context"
"log"
"os"
"github.com/hastekit/hastekit-sdk-go/pkg/utils"
"github.com/hastekit/hastekit-sdk-go/pkg/gateway"
"github.com/hastekit/hastekit-sdk-go/pkg/gateway/llm"
"github.com/hastekit/hastekit-sdk-go/pkg/gateway/llm/transcription"
hastekit "github.com/hastekit/hastekit-sdk-go"
)
func main() {
// Initialize SDK client
client, err := hastekit.New(&hastekit.ClientOptions{
ProviderConfigs: []gateway.ProviderConfig{
{
ProviderName: llm.ProviderNameOpenAI,
BaseURL: "",
CustomHeaders: nil,
ApiKeys: []*gateway.APIKeyConfig{
{
Name: "Key 1",
APIKey: os.Getenv("OPENAI_API_KEY"),
},
},
},
},
})
if err != nil {
log.Fatal(err)
}
// Read audio file
audio, err := os.ReadFile("meeting.mp3")
if err != nil {
log.Fatal(err)
}
// Transcribe with word-level timestamps
resp, err := client.NewTranscription(context.Background(), &transcription.Request{
Model: "OpenAI/whisper-1",
Audio: audio,
AudioFilename: "meeting.mp3",
Language: utils.Ptr("en"),
ResponseFormat: utils.Ptr("verbose_json"),
TimestampGranularities: []string{"word", "segment"},
})
if err != nil {
log.Fatal(err)
}
log.Printf("Transcription: %s\n", resp.Text)
if resp.Duration != nil {
log.Printf("Duration: %.2f seconds\n", *resp.Duration)
}
if resp.Language != nil {
log.Printf("Language: %s\n", *resp.Language)
}
}
AudioFilename. Supported formats include:
| Format | Extension | MIME Type |
|---|
| MP3 | .mp3 | audio/mpeg |
| WAV | .wav | audio/wav |
| FLAC | .flac | audio/flac |
| OGG | .ogg | audio/ogg |
| M4A | .m4a | audio/mp4 |
| AAC | .aac | audio/aac |
| WebM | .webm | audio/webm |
| PCM | .pcm | audio/L16 |
Supported Providers
| Provider | Transcription |
|---|
| OpenAI | ✅ |
| Gemini | ✅ |
| ElevenLabs | ✅ |
| Anthropic | ❌ |