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Cara Menghitung AI Translation Cost

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The AI Translation Cost Calculator estimates the expense of translating text using AI services like DeepL, Google Cloud Translation, AWS Translate, and LLM-based translation (GPT-4, Claude). It compares per-character and per-word pricing across services and language pairs.

Rumus

Translation Cost = Character Count × Price per Character (or Word Count × Price per Word)
C
Character Count (characters) — Total characters in source text
P
Price per Million Characters ($/1M chars) — Service rate per million characters translated
L_src
Source Language (language code) — Original language of the content
L_tgt
Target Language (language code) — Translation target language

Panduan Langkah demi Langkah

  1. 1Enter the text volume in words, characters, or pages
  2. 2Select source and target languages
  3. 3Choose translation services to compare (DeepL, Google, AWS, LLM-based)
  4. 4View per-page cost, total cost, and quality comparison notes

Contoh Terpecahkan

Masukan
100,000 words English to Spanish, DeepL API Pro
Hasil
Characters: ~500,000. DeepL: $25.00/1M chars = $12.50. Google Cloud: $20/1M chars = $10.00. GPT-4o via API: ~$3.75 (tokens-based). AWS Translate: $15/1M chars = $7.50.
Masukan
500-page technical manual, English to Japanese
Hasil
Approximately 2.5M characters. DeepL: $62.50. Google: $50.00. Human translator: $0.12-$0.20/word × 125,000 words = $15,000-$25,000.

Kesalahan Umum yang Harus Dihindari

  • Comparing AI translation cost to human translation without accounting for post-editing (MTPE) time needed for publication quality
  • Using character-based pricing formulas for Chinese/Japanese/Korean where character counts differ significantly from alphabetic languages
  • Not testing translation quality across multiple services for your specific domain — generic cost comparison misses accuracy differences

Pertanyaan yang sering diajukan

Is AI translation good enough to replace human translators?

For internal documents, customer support, and general web content, AI translation (especially DeepL and GPT-4) produces publication-quality results for most European language pairs. For legal, medical, literary, or highly technical content, AI translation should be followed by human post-editing (MTPE). The best workflow is AI draft + human review, which is 3-5x cheaper than fully human translation.

Which AI translation service produces the best quality?

DeepL consistently ranks highest for European languages. GPT-4 and Claude produce excellent results with custom instructions (tone, terminology) and handle context better than traditional NMT. Google Translate is strongest for rare language pairs. For Asian languages, native-trained models often outperform general-purpose services.

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