Tetap teratur dengan koleksi
Simpan dan kategorikan konten berdasarkan preferensi Anda.
Anda dapat menyediakan data gambar ke Vision API dengan menentukan jalur URI ke
gambar, atau dengan mengirimkan data gambar sebagai teks yang dienkode 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
# Import the base64 encoding library.importbase64# Pass the image data to an encoding function.defencode_image(image):withopen(image,"rb")asimage_file:encoded_string=base64.b64encode(image_file.read())returnencoded_string
Node.js
// Read the file into memory.varfs=require('fs');varimageFile=fs.readFileSync('/path/to/file');// Convert the image data to a Buffer and base64 encode it.varencoded=Buffer.from(imageFile).toString('base64');
Java
// Import the Base64 encoding library.importorg.apache.commons.codec.binary.Base64;// Encode the image.StringencodedString=Base64.getEncoder().encodeToString(imageFile.getBytes());
Go
import("bufio""encoding/base64""io""os")// Open image file.f,_:=os.Open("image.jpg")// Read entire image into byte slice.reader:=bufio.NewReader(f)content,_:=io.ReadAll(reader)// Encode image 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 2025-08-19 UTC."],[],[],null,["# Base64 Encoding\n\nYou can provide image data to the Vision API by specifying the URI path to the\nimage, or by sending the image data as [Base64 encoded](https://en.wikipedia.org/wiki/Base64) text.\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```json\n{\n \"requests\": [\n {\n \"image\": {\n \"content\": \"\u003cvar translate=\"no\"\u003eBASE64_ENCODED_DATA\u003c/var\u003e\"\n },\n \"features\": [\n {\n \"type\": \"LABEL_DETECTION\",\n \"maxResults\": 1\n }\n ]\n }\n ]\n}\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### Python\n\n # Import the base64 encoding library.\n import base64\n\n # Pass the image data to an encoding function.\n def encode_image(image):\n with open(image, \"rb\") as image_file:\n encoded_string = base64.b64encode(image_file.read())\n return encoded_string\n\n### Node.js\n\n // Read the file into memory.\n var fs = require('fs');\n var imageFile = fs.readFileSync('/path/to/file');\n\n // Convert the image data to a Buffer and base64 encode it.\n var encoded = Buffer.from(imageFile).toString('base64');\n\n### Java\n\n // Import the Base64 encoding library.\n import org.apache.commons.codec.binary.Base64;\n\n // Encode the image.\n String encodedString = Base64.getEncoder().encodeToString(imageFile.getBytes());\n\n### Go\n\n import (\n \"bufio\"\n \"encoding/base64\"\n \"io\"\n \"os\"\n )\n\n // Open image file.\n f, _ := os.Open(\"image.jpg\")\n\n // Read entire image into byte slice.\n reader := bufio.NewReader(f)\n content, _ := io.ReadAll(reader)\n\n // Encode image as base64.\n base64.StdEncoding.EncodeToString(content)"]]