# Go Ocr

URL: https://interfaze.ai/models/getcharzpgo-ocr

[All models](https://interfaze.ai/models)

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 |

[Try Interfaze](https://interfaze.ai/dashboard)[Read the Docs](https://interfaze.ai/docs)

View model card on [Hugging Face](https://huggingface.co/GetcharZp/go-ocr)

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 |
| --- | --- |
|  |  |

## Want more deterministic results?

[Try Interfaze](https://interfaze.ai/dashboard)[Read the Docs](https://interfaze.ai/docs)