Favicon of Doc2Lang

Doc2Lang: AI Document Translation Service

Doc2Lang helps businesses translate professional documents and media files into over 100 languages. It is designed for teams that need to localize marketing materials or technical reports without manually re-creating file layouts.

At a glance

Category
Productivity
Best for
Small businesses, Mid-market companies, Enterprise companies, Marketing managers, Project managers
Pricing
Doc2Lang uses a pay-per-use token model starting at $0.50 per 1,000 tokens (1-20K), decreasing to $0.10 per 1,000 tokens for volumes over 60K. Bulk credit packages are available to waive the $5 minimum charge.
Key use cases
International Team Communication, Marketing and Sales Localization, Legal and Compliance Review, Academic Research Translation
Official website
doc2lang.com
Screenshot of Doc2Lang website

Doc2Lang is a document translation tool using GPT models that handles various file formats, including PDF, Word, Excel, PowerPoint, and specialized files such as IDML and subtitles. It is designed to translate text while helping to keep original fonts, graphics, and layout intact.

The service supports small to enterprise-level businesses that need to translate content across different languages. It includes a free preview feature, allowing users to check translation quality before paying for the full document.

Beyond standard text files, the tool provides OCR for scanned PDFs and image-based text, as well as batch upload via ZIP archives for larger projects. It also includes tools for audio and video extraction to support transcription workflows.

Buyers should note that because some languages expand or contract, text boxes may shift, which may require minor manual adjustments after the translation is complete.

Key Features

Formatting Preservation

Supports the preservation of original layouts, fonts, graphics, and formulas across translated documents.

Broad File Support

Supports translation for PDF, Word, Excel, PowerPoint, CSV, EPUB, IDML, HTML, and subtitle formats.

OCR for Scanned Documents

Uses Optical Character Recognition to extract and translate text from scanned PDFs or images.

ZIP Batch Upload

Supports uploading multiple files in a single ZIP archive to select specific files for translation.

Custom Glossaries

Allows the definition of specific terminology to help maintain consistency for brand names and technical terms.

Privacy Controls

Uses HTTPS encryption and provides an option to delete uploaded files from servers after translation.

Use Cases

International Team Communication

Translating project folders, reports, and spreadsheets for teams operating in different regions.

Marketing and Sales Localization

Converting sales decks and marketing materials into multiple languages while supporting visual brand identity.

Legal and Compliance Review

Translating contracts and policy documents for regional legal review.

Academic Research Translation

Translating scholarly articles and datasets for multilingual publication.

Best For

Small businessesMid-market companiesEnterprise companiesMarketing managersProject managers

Pricing

Doc2Lang uses a pay-per-use token model starting at $0.50 per 1,000 tokens (1-20K), decreasing to $0.10 per 1,000 tokens for volumes over 60K. Bulk credit packages are available to waive the $5 minimum charge.

FAQ

Does Doc2Lang keep the original document layout?

The service is designed to preserve fonts, graphics, and formulas, though some text shifting may occur in certain languages.

How is the translation priced?

It uses a pay-per-use token system where costs decrease as volume increases, starting at $0.50 per 1,000 tokens.

Can I translate scanned PDF documents?

Yes, Doc2Lang provides OCR technology for extracting and translating text from scanned PDFs and images.

Are there subscription fees?

No, Doc2Lang operates on a pay-as-you-go basis without monthly fees or subscription commitments.

Source category: Productivity

Source subcategory: Localization Platform

Categories:

Software Type:

Featured Tools

Favicon
  
  
 
   
Favicon
  
  
 
   
Favicon
  
  
 
   
Favicon
  
  
 
   
Favicon
  
  
 
   
Favicon