DeepSeek OCR、Qwen-3 VL和Mistral OCR对比:哪个最好?

DeepSeek OCR、Qwen-3 VL和Mistral OCR对比:哪个最好?

文章目录

  • 光学字符识别的演进
  • 为什么选择这张图片进行测试?
  • DeepSeek OCR、Qwen-3 VL和Mistral OCR概述
  • 实际测试执行与分析
  • 1. DeepSeek-OCR
  • 2. Qwen-3 VL
  • 3. Mistral OCR
  • 建立稳健的OCR模型对比指标
  • 最终点评:DeepSeek OCR vs Qwen-3 VL vs Mistral OCR
  • 小结

DeepSeek OCR、Qwen-3 VL和Mistral OCR:哪个最好?
企业需要高效的AI文档处理系统。开发人员发现选择合适的模型非常棘手。选择速度、准确性和成本方面最高效的模型至关重要。我们对三种公认的AI模型进行了比较研究:DeepSeek OCR、Qwen-3 VL和Mistral OCR。

本次评测将帮助您获得更佳的数据提取性能。先进的光学字符识别(OCR)系统能够实现业务的基础自动化。以下评测基于生产就绪性和对文档的真正理解。谨慎选择模型对于正确的文档分析至关重要。结果将确认哪种模型能够带来最佳的实用性。

光学字符识别的演进

传统的OCR系统仅针对原始字符提取。它们在处理表格、列或复杂的文档布局时常常失效。如今,现代原生AI模型采用视觉语言架构。这些系统引入了深度上下文理解和更佳的布局理解。它们意识到文本存在于一个结构中,而不仅仅是一个流。这项功能使OCR的应用范围超越了简单的字符错误率统计。根据最近的一份行业报告,70%的企业用户希望OCR能够提供更高的结构保真度。这意味着模型必须在保持表单逻辑的同时,掌握精准的OCR识别。

为什么选择这张图片进行测试?

选择测试文档并非易事。IRS 5500-EZ 表格包含复杂且敏感的数据字段。它包含手写和印刷元素,布局紧凑,因此非常适合进行原始OCR测试。虚线和各种字段迫使模型展现出卓越的布局理解能力。准确的字段提取是AI文档正确处理的必要条件。税务表格上的错误会对业务产生清晰、可量化的影响。这份表格为文档分析的真正能力提供了严格的测试。

IRS 5500-EZ 表格

Source: Unstract

DeepSeek OCR、Qwen-3 VL和Mistral OCR概述

DeepSeek-OCR

DeepSeek-OCR 采用专为企业级应用而设计的高吞吐量架构:一个两阶段编码器-解码器流水线,首先使用具有约 3.8 亿个参数的编码器 DeepEncoder 将高分辨率文档压缩成紧凑的视觉标记,然后使用具有约 5.7 亿个有效参数的稀疏 MoE 语言解码器 DeepSeek-3B-MoE 对这些标记进行解码。其独特的上下文光学压缩和分层全局/局部处理技术,在保证大型文档布局和结构完整性的同时,显著提升了推理速度并降低了内存占用。

阅读更多:DeepSeek OCR

Qwen-3 VL

Qwen-3 VL 是阿里巴巴的开放权重多模态系统,采用混合密集+稀疏 Transformer 模型(专家混合模型+密集骨干网络),并结合视觉语言融合层和交错位置编码,以支持极长的上下文窗口。这种高容量设计——原生支持长上下文处理、多级 ViT 特征融合和多语言分词——旨在应对复杂的长文档 OCR 和结构化提取任务,同时保持灵活性,便于研究和工程定制。

Mistral OCR

Mistral 是一款面向生产环境的视觉文本识别系统,针对当前最先进的领域级精度和实际应用挑战进行了优化。Mistral 采用四阶段 Transformer 流水线实现:图像预处理、文本检测、多层 Transformer 识别和后处理/格式化。它提供一致的结构化输出:文本、边界框和布局,以及卓越的工程优化,例如拼写/后处理、表格处理和数学运算,从而实现可靠的下游文档自动化。​​

了解更多:Mistral OCR

实际测试执行与分析

我们通过各模型的公开 API 或 Web 平台界面访问了它们。对于每个模型,我们都粘贴了相同的 OCR 提示信息并提交了 IRS 表格图像。这种方法确保我们测试的是核心光学字符识别引擎。提示信息要求在保留原始结构的同时,精确提取文本。

OCR 提示词:“Perform OCR (Optical Character Recognition) on the provided image or PDF document to extract all visible text exactly as it appears in the document. 

# Steps

1. **Input Handling**: Ensure the input is a supported image format (e.g., JPEG, PNG) or a PDF document.

2. **Image Processing**: If necessary, pre-process the image for better OCR results. This might include adjusting brightness, contrast, or converting to grayscale.

3. **OCR Execution**: Use an OCR tool or library to scan the document and extract the text. Ensure the tool is configured to preserve the text formatting as closely as possible.

4. **Text Extraction**: Retrieve the text from the OCR output, ensuring all text is captured as it appears in the document, including punctuation, capitalization, and line breaks.

# Output Format

– Provide the extracted text in a plain text format.

# Example

– Input: An image of a printed page with text.

– Output: “This is the extracted text, maintaining punctuation and line breaks accurately as seen in the source image.”

# Notes

– Ensure that text extraction maintains the original document’s structure and formatting.”

1. DeepSeek-OCR

  1. 访问 https://chat.deepseek.com
  2. 粘贴 OCR 提示信息和上方提供的 IRS 表格。

响应:

DeepSeek-OCR

# Form Number: CA 530082

## Annual Return of A One-Participant (Owners/Partners and Their Spouses) Retirement Plan or A Foreign Plan

This form is required to be filed under section 6058 of the Internal Revenue Code. Certain royalty statements must be made required to be paid from other instructions. Complete all entries in accordance with the instructions to the Form 5500-EZ.

Go to www.irs.gov/Form5500EZ for instructions and the latest information.

---

### Annual Return Identification Information

For the calendar plan year 2023 or fiscal plan year beginning (MM/DD/YYYY)  

(1) The final return filed for the plan  

(2) an amended return  

(4) a short plan year return (less than 12 months)  

Check box if filing under  

Form 5558  

(automatic extension)  

If this return is for a foreign plan, check this box (see instructions)  

If this return is for the IRS Late Filer Penalty Relief Program, check this box  

(Must be filed on a paper Form with the IRS. See instructions).  

If this is a retroactively adopted plan permitted by SECURE Act section 201, check here . . .  

---

### Basic Plan Information — enter all requested information.

**Name of plan**

---

### Annual Return Plan

- Employer's name  

- **Aone Corp Software**  

Trade name of business (if different from name of employer)  

In care of name  

Mailing address (room, apt., suite no. and street, or P.O. box)  

235, Park Street Avenue, FL  

City or town, state or province, county, and ZIP or foreign postal code (if foreign, see instructions)  

FL 6352  

Plan administrator's name (if same as employer, enter "Same")  

In care of name  

Mailing address (room, apt., suite no. and street, or P.O. box)  

City or town, state or province, county, and ZIP or foreign postal code (if foreign, see instructions)  

If the employer's name, the employer's EIN, and/or the plan name has changed since the last return filed for this plan, enter the employer's name and EIN, the plan name, and the plan number for the last return in the appropriate space provided  

Employer's name  

---

### Plan name

|    | (1) Beginning of year | (2) End of year |

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

| 6a    | 5 0000    | 6000    |

| 6b    | 4 000    | 5000    |

Net plan assets (subtract line 6b from 6a)  

---

For Privacy Act and Paperwork Reduction Act Notice, see the instructions for Form 5500-EZ.  

Catalog Number 62603Z  

Form 5500-EZ (2023)

DeepSeek 的响应速度很快,仅需 4-6 秒即可返回结果。然而,其在文档分析方面的表现却不尽如人意。该模型漏掉了文档标题中的几个重要字段,并且对财务表格的布局理解也存在偏差。关键字段存在转录错误,例如将“ACME Corp Software”识别为“Aone Corp Software”。如此高的错误率意味着 DeepSeek 的输出结果需要大量的人工校正。在这个应用中,速度并不能弥补严重的数据丢失。

2. Qwen-3 VL

  1. 访问 https://chat.qwen.ai/
  2. 粘贴上面提供的 OCR 提示和 IRS 表格。

输出:

Qwen-3 VLQwen-3 VL

Form Number: CA530082

Form 5500-EZ

Annual Return of A One-Participant (Owners/Partners and Their Spouses) Retirement Plan or A Foreign Plan

Department of the Treasury

Internal Revenue Service

This form is required to be filed under section 6058(a) of the Internal Revenue Code.

Certain foreign retirement plans are also required to file this form (see instructions).

Complete all entries in accordance with the instructions to the Form 5500-EZ.

Go to www.irs.gov/Form5500EZ for instructions and the latest information.

OMB No. 1545-1610

2023

This Form is Open to Public Inspection

Part I Annual Return Identification Information

For the calendar plan year 2023 or fiscal plan year beginning (MM/DD/YYYY) 01/02/2022 and ending 01/10/2023

A This return is:

(1) ☑ the first return filed for the plan

(2) □ an amended return

(3) □ the final return filed for the plan

(4) □ a short plan year return (less than 12 months)

B Check box if filing under

□ Form 5558

□ automatic extension

□ special extension (enter description)

C If this return is for a foreign plan, check this box (see instructions) □

D If this return is for the IRS Late Filer Penalty Relief Program, check this box

(Must be filed on a paper Form with the IRS. See instructions.) □

E If this is a retroactively adopted plan permitted by SECURE Act section 201, check here □

Part II Basic Plan Information — enter all requested information.

1a Name of plan

Annual Return Plan

1b Three-digit plan number (PN)

586

1c Date plan first became effective (MM/DD/YYYY)

02/05/2022

2a Employer's name

ACME CORP Software

Trade name of business (if different from name of employer)

In care of name

Mailing address (room, apt., suite no. and street, or P.O. box)

235, PARK STREET AVENUE, FL

City or town, state or province, country, and ZIP or foreign postal code (if foreign, see instructions)

FL 63052

2b Employer Identification Number (EIN)

(Do not enter your Social Security Number)

735268329

2c Employer's telephone number

011536259

2d Business code (see instructions)

3a Plan administrator's name (if same as employer, enter "Same")

In care of name

Mailing address (room, apt., suite no. and street, or P.O. box)

City or town, state or province, country, and ZIP or foreign postal code (if foreign, see instructions)

3b Administrator's EIN

532678

3c Administrator's telephone number

4 If the employer's name, the employer's EIN, and/or the plan name has changed since the last return filed for this plan, enter the employer's name and EIN, the plan name, and the plan number for the last return in the appropriate space provided.

a Employer's name

4b EIN

5732900

4c Plan name

4d PN

5a(1) Total number of participants at the beginning of the plan year . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

Qwen-3 VL 提供了最佳的字符级 OCR 输出。它展现了出色的结构保真度,证明了其强大的布局理解能力。它能够识别诸如复选框标记之类的细微之处。然而,系统在处理过程中出现了超时现象。在尝试完成提取时,系统开始输出无限个点。这种严重的速度故障使得该模型目前无法用于任何高容量 AI 文档处理流程。没有低延迟,高精度毫无意义。

3. Mistral OCR

  1. 访问 https://chat.mistral.ai
  2. 粘贴上述 OCR 提示和 IRS 表格。

响应:

Mistral OCR

Here is the visible text content from the image:

Form Number: CA 530082

Form 5500-EZ Annual Return of A One-Participant (Owners/Partners and Their Spouses) Retirement Plan or A Foreign Plan

Department of the Treasury Internal Revenue Service

Part I Annual Return Identification Information For the calendar plan year 2023 or fiscal plan year beginning (MM/DD/YYYY): 01/02/2022 and ending 12/31/2023

A This return is: (1) the first return filed for the plan (2) an amended return (3) the final return filed for the plan (4) a short plan year return (less than 12 months)

B Check box if filing under: Form 5558 Automatic extension

C If this return is for a foreign plan, check this box

D If this return is for the IRS Late Filer Penalty Relief Program, check this box

E If this is a retroactively adopted plan permitted by SECURE Act section 201, check here

Part II Basic Plan Information

1a Name of plan: Annual Return plan

1b Three-digit plan number (PN): 586

1c Date plan first became effective (MM/DD/YYYY): 02/05/2022

2a Employer’s name: ACME Corp Software

2b Employer Identification Number (EIN): 735268329

2c Employer’s telephone number: (011) 538259

3a Plan administrator’s name (if same as employer, enter “Same”): Same

3b Administrator’s EIN: 532678

3c Administrator’s telephone number:

4 If the employer’s name, the employer’s EIN, and/or the plan name has changed since the last return filed for this plan, enter the employer’s name and EIN, the plan name, and the plan number for the last return in the appropriate space provided

4b EIN: 5732900

4d PN: 586

5a(1) Total number of participants at the beginning of the plan year: 1.0

5a(2) Total number of active participants at the beginning of the plan year: 1

5b(1) Total number of participants at the end of the plan year: 1

5b(2) Total number of active participants at the end of the plan year: 1

5c Number of participants who terminated employment during the plan year with accrued benefits that were less than 100% vested: 2

Part III Financial Information

6a Total plan assets: (1) Beginning of year: $50,000 (2) End of year: $60,000

6b Total plan liabilities: (1) Beginning of year: $4,000 (2) End of year: $5,000

6c Net plan assets (subtract line 6b from 6a): (1) Beginning of year: $46,000 (2) End of year: $55,000

Catalog Number 63283R **Form 5500-EZ (20

在这项全面的对比测试中,Mistral OCR 的响应速度最快,仅需 3-4 秒即可完成全部提取工作。其输出格式清晰且结构良好,对所有手写和印刷字段的识别准确率都非常高。更重要的是,其布局理解功能使得提取的数据易于使用。Mistral 成功提供了最完整、最实用的最终结构。此外,该模型还成功推断出第 6c 行的“净计划资产总额”,这充分展现了其超越原始文本的强大内部一致性。

建立稳健的OCR模型对比指标

分类 指标 Mistral DeepSeek Qwen-3 VL
速度 延迟(秒/图像) 3-4秒 4-6秒 无限
识别准确性 字词/字符准确率 极高 中等 优秀
布局理解 结构F1 优秀 一般 优秀
语义一致性 意义相似性 通过推理良好 较差 优秀
输出实用性 字段提取质量 优秀 较差 优秀

最终点评:DeepSeek OCR vs Qwen-3 VL vs Mistral OCR

实际应用需要在准确性和速度之间做出权衡。在现实世界中,理论上的高性能并不足以确保成功。实际测试清楚地表明了这一点。

Mistral OCR 在这项特定的文档分析任务中提供了最佳平衡:它兼具高准确性、出色的布局理解能力和最快的处理速度。输出计算值方面的小问题可以忽略不计,因为它的整体实用性很高。

Qwen-3 VL 的识别能力很强,但无法通过延迟测试。DeepSeek OCR 速度很快,但其光学字符识别性能较差,不适用于复杂表单。为了实现稳健的 AI 文档处理,应选择速度和结构保真度都经过验证的架构。行业趋势正在从单纯追求蛮力准确转向快速、准确且具有上下文感知能力的提取。

小结

现代 OCR 的选择最终取决于准确性和实际生产速度之间的平衡。基准测试分数固然重要,但实际可靠性更为关键。 Mistral 的优势在于其快速的识别速度和强大的布局理解能力,使其成为严肃文档处理工作的最佳选择。DeepSeek 速度很快,但 OCR 质量稳定性欠佳;Qwen-3 VL 读取效果不错,但延迟较高,因此不适合企业级应用。当延迟会中断工作流程时,可靠的速度和结构保真度比理论上的准确性更为重要。选择一款在实际应用中表现可靠的工具。

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闪电侠

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2025-12-05 14:32:54

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