Go Ocr
Go Ocr by GetcharZp, a image-to-text model with OCR capabilities. Understand and compare OCR features, benchmarks, and capabilities.
Comparison
| Feature | Go Ocr | Interfaze |
|---|---|---|
| Input Modalities | image | image, text, audio, video, document |
| Native OCR | Yes | Yes |
| Long Document Processing | No | Yes |
| Language Support | unknown | 162+ |
| Native Speech-to-Text | No | Yes |
| Native Object Detection | No | Yes |
| Guardrail Controls | No | Yes |
| Context Input Size | unknown | 1M |
| Tool Calling | No | Tool calling supported + built in browser, code execution and web search |
OCR Capabilities
| Feature | Go Ocr | Interfaze |
|---|---|---|
| Text Bounding Boxes | Yes | Yes |
| Confidence Scores | No | Yes |
| Dense Image Processing | No | Yes |
| Low Quality Images | No | Yes |
| Handwritten Text | No | Yes |
| Charts, Tables & Equations | No | Yes |
Scaling
| Feature | Go Ocr | Interfaze |
|---|---|---|
| Scaling | Self-hosted/Provider-hosted with quantization | Unlimited |
View model card on Hugging Face
go-ocr 是一款基于 Golang + ONNX 构建的 OCR 工具库，专注于为 Go 生态提供简单易用、可扩展的文字识别能力。 目前已完成与 PaddleOCR、DdddOCR 的对接，支持快速实现图像文字检测与识别。
安装
go get -u github.com/getcharzp/go-ocr
git clone https://huggingface.co/getcharzp/go-ocr
快速开始
PaddleOCR
示例代码
通过 OCR 引擎的 RunOCR() 方法能直接进行完整的检测与识别，也可以通过 RunDetect() 与 RunRecognize() 分别进行检测与识别。
package main
import (
ocr "github.com/getcharzp/go-ocr"
"github.com/up-zero/gotool/imageutil"
"log"
)
func main() {
// 按实际情况配置下述路径
config := ocr.Config{
OnnxRuntimeLibPath: "./lib/onnxruntime_amd64.so",
DetModelPath: "./paddle_weights/det.onnx",
RecModelPath: "./paddle_weights/rec.onnx",
DictPath: "./paddle_weights/dict.txt",
}
// 初始化引擎
var engine ocr.Engine
engine, err := ocr.NewPaddleOcrEngine(config)
if err != nil {
log.Fatalf("创建 OCR 引擎失败: %v\n", err)
}
defer engine.Destroy()
// 打开图像
imagePath := "./test.jpg"
img, err := imageutil.Open(imagePath)
if err != nil {
log.Fatalf("加载图像失败: %v\n", err)
}
// OCR识别
results, err := engine.RunOCR(img)
if err != nil {
log.Fatalf("运行 OCR 失败: %v\n", err)
}
for _, result := range results {
log.Printf("识别结果: %v\n", result)
}
}
示例效果
| 原图 | 检测结果 |
|---|---|
DdddOCR
示例代码
package main
import (
"github.com/getcharzp/go-ocr/ddddocr"
"github.com/up-zero/gotool/imageutil"
"image"
"image/color"
"image/draw"
"log"
)
func main() {
config := ddddocr.Config{
OnnxRuntimeLibPath: "../lib/onnxruntime.dll",
DetModelPath: "../ddddocr_weights/common_det.onnx",
}
engine, err := ddddocr.NewEngine(config)
if err != nil {
log.Fatalf("创建 OCR 引擎失败: %v\n", err)
}
defer engine.Destroy()
imagePath := "./captcha_det.png"
img, err := imageutil.Open(imagePath)
if err != nil {
log.Fatalf("加载图像失败: %v\n", err)
}
boxes, err := engine.Detect(img)
if err != nil {
log.Fatalf("运行检测失败: %v\n", err)
}
tagImg := image.NewRGBA(img.Bounds())
draw.Draw(tagImg, img.Bounds(), img, image.Point{}, draw.Src)
for _, box := range boxes {
imageutil.DrawThickRectOutline(tagImg, image.Rectangle{Min: image.Point{X: box.Box[0], Y: box.Box[1]},
Max: image.Point{X: box.Box[2], Y: box.Box[3]}}, color.Black, 2)
}
imageutil.Save("captcha_det_result.png", tagImg, 100)
}
示例效果
| 原图 | 检测结果 |
|---|---|