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Saat mengirim data audio ke Speech-to-Text API, Anda dapat mengirim data secara langsung (dalam kolom content permintaan) atau meminta API melakukan pengenalan dari jarak jauh pada data yang disimpan di bucket Cloud Storage dengan menentukan objek penyimpanan di kolom uri permintaan.
Setiap data audio di kolom content pada permintaan HTTP harus dalam format base64.
Halaman ini menjelaskan cara mengonversi audio dari file biner ke data berenkode base64.
Menggunakan command line
Dalam permintaan gRPC, Anda cukup menulis data biner secara langsung;
tetapi JSON digunakan saat membuat permintaan REST. JSON
adalah format teks yang tidak mendukung data biner secara langsung, sehingga Anda harus
mengonversi data biner tersebut menjadi teks menggunakan
encoding Base64.
Sebagian besar lingkungan pengembangan berisi utilitas base64 native untuk
mengenkode biner ke dalam data teks ASCII. Untuk mengenkode file:
Linux
Enkode file menggunakan alat command line base64, yang memastikan untuk
mencegah penggabungan baris menggunakan flag -w 0:
base64 INPUT_FILE -w 0 > OUTPUT_FILE
macOS
Enkode file menggunakan alat command line base64:
base64 -i INPUT_FILE -o OUTPUT_FILE
Windows
Enkode file menggunakan alat Base64.exe:
Base64.exe -e INPUT_FILE > OUTPUT_FILE
PowerShell
Enkode file menggunakan metode Convert.ToBase64String:
Menyematkan data biner ke dalam permintaan melalui editor teks bukanlah hal
yang diinginkan atau praktis. Dalam praktiknya, Anda akan menyematkan file berenkode base64
dalam kode klien. Semua bahasa pemrograman yang didukung memiliki mekanisme bawaan
untuk konten encoding base64.
Python
Di Python, base64 mengenkode file audio sebagai berikut:
# Import the base64 encoding library.importbase64# Pass the audio data to an encoding function.defencode_audio(audio_file):withopen(audio_file,"rb")asf:encoded_content=base64.b64encode(f.read())returnencoded_content
Node.js
// Read the file into memory.varfs=require('fs');varaudioFile=fs.readFileSync('/full/path/to/audio/file.wav');// Convert the audio data to a Buffer and base64 encode it.varencoded=Buffer.from(audioFile).toString('base64');
Java
// Import the Base64 encoding library.importorg.apache.commons.codec.binary.Base64;// Encode the audio.byte[]audioData=Base64.encodeBase64(audioFile.getBytes());StringencodedString=Base64.getEncoder().encodeToString(audioData);
Go
import("bufio""encoding/base64""io""os")// Open audio file.f,_:=os.Open("/full/path/to/audio/file.wav")// Read entire audio into byte slice.reader:=bufio.NewReader(f)content,_:=io.ReadAll(reader)// Encode audio as base64.base64.StdEncoding.EncodeToString(content)
[[["Mudah dipahami","easyToUnderstand","thumb-up"],["Memecahkan masalah saya","solvedMyProblem","thumb-up"],["Lainnya","otherUp","thumb-up"]],[["Sulit dipahami","hardToUnderstand","thumb-down"],["Informasi atau kode contoh salah","incorrectInformationOrSampleCode","thumb-down"],["Informasi/contoh yang saya butuhkan tidak ada","missingTheInformationSamplesINeed","thumb-down"],["Masalah terjemahan","translationIssue","thumb-down"],["Lainnya","otherDown","thumb-down"]],["Terakhir diperbarui pada 2025-09-02 UTC."],[],[],null,["# Base64 encoding audio content\n\nWhen you send audio data to the Speech-to-Text API, you can either send the\ndata directly (within the request's\n[`content`](/speech-to-text/v2/docs/reference/rpc/google.cloud.speech.v2#google.cloud.speech.v2.RecognizeRequest.FIELDS.bytes.google.cloud.speech.v2.RecognizeRequest.content)\nfield) or have the API perform recognition remotely on data stored in a\nCloud Storage bucket by specifying the storage object in the request's\n[`uri`](/speech-to-text/v2/docs/reference/rpc/google.cloud.speech.v2#google.cloud.speech.v2.RecognizeRequest.FIELDS.string.google.cloud.speech.v2.RecognizeRequest.uri)\nfield.\n\nAny audio data in the `content` field in HTTP requests must be in base64 format.\nThis page describes how to convert audio from a binary file to base64-encoded data.\n| **Note:** For clients using client libraries or a gRPC client, audio content should be in binary format, not base64 format.\n| **Note:** Check the [quotas and limits](/speech-to-text/v2/quotas) documentation for the content limits on inline audio.\n\nUsing the command line\n----------------------\n\nWithin a gRPC request, you can simply write binary data out directly;\nhowever, JSON is used when making a REST request. JSON\nis a text format that does not directly support binary data, so you will need to\nconvert such binary data into text using\n[Base64](https://en.wikipedia.org/wiki/Base64) encoding.\n\nMost development environments contain a native `base64` utility to\nencode a binary into ASCII text data. To encode a file: \n\n### Linux\n\nEncode the file using the `base64` command line tool, making sure to\nprevent line-wrapping by using the `-w 0` flag: \n\n```\nbase64 INPUT_FILE -w 0 \u003e OUTPUT_FILE\n```\n\n### macOS\n\nEncode the file using the `base64` command line tool: \n\n```\nbase64 -i INPUT_FILE -o OUTPUT_FILE\n```\n\n### Windows\n\nEncode the file using the `Base64.exe` tool: \n\n```\nBase64.exe -e INPUT_FILE \u003e OUTPUT_FILE\n```\n\n### PowerShell\n\nEncode the file using the `Convert.ToBase64String` method: \n\n```\n[Convert]::ToBase64String([IO.File]::ReadAllBytes(\"./INPUT_FILE\")) \u003e OUTPUT_FILE\n```\n\nCreate a JSON request file, inlining the base64-encoded data: \n\n### JSON\n\n\n {\n \"recognizer\": \"projects/\u003cvar translate=\"no\"\u003ePROJECT_ID\u003c/var\u003e/locations/global/recognizers/_\",\n \"content\": \"ZkxhQwAAACIQABAAAAUJABtAA+gA8AB+W8FZndQvQAyjv...\"\n }\n\n\u003cbr /\u003e\n\nUsing client libraries\n----------------------\n\nEmbedding binary data into requests through text editors is neither\ndesirable or practical. In practice, you will be embedding base64 encoded files\nwithin client code. All supported programming languages have built-in mechanisms\nfor base64 encoding content.\n\n\n### Python\n\nIn Python, base64 encode audio files as follows: \n\n # Import the base64 encoding library.\n import base64\n\n # Pass the audio data to an encoding function.\n def encode_audio(audio_file):\n with open(audio_file, \"rb\") as f:\n encoded_content = base64.b64encode(f.read())\n return encoded_content\n\n### Node.js\n\n // Read the file into memory.\n var fs = require('fs');\n var audioFile = fs.readFileSync('\u003cvar translate=\"no\"\u003e/full/path/to/audio/file.wav\u003c/var\u003e');\n\n // Convert the audio data to a Buffer and base64 encode it.\n var encoded = Buffer.from(audioFile).toString('base64');\n\n### Java\n\n // Import the Base64 encoding library.\n import org.apache.commons.codec.binary.Base64;\n\n // Encode the audio.\n byte[] audioData = Base64.encodeBase64(audioFile.getBytes());\n String encodedString = Base64.getEncoder().encodeToString(audioData);\n\n### Go\n\n import (\n \"bufio\"\n \"encoding/base64\"\n \"io\"\n \"os\"\n )\n\n // Open audio file.\n f, _ := os.Open(\"\u003cvar translate=\"no\"\u003e/full/path/to/audio/file.wav\u003c/var\u003e\")\n\n // Read entire audio into byte slice.\n reader := bufio.NewReader(f)\n content, _ := io.ReadAll(reader)\n\n // Encode audio as base64.\n base64.StdEncoding.EncodeToString(content)\n\n\u003cbr /\u003e"]]