# DeepL vs Whisper (OpenAI)

DeepL records 95,110,871 monthly visits with -1.7% month-over-month growth and Freemium pricing. Whisper (OpenAI) records 0 monthly visits with — growth and Free pricing.

| Metric | [DeepL](https://openaitools.app/tool/deepl) | [Whisper (OpenAI)](https://openaitools.app/tool/whisper-github) |
| :--- | :--- | :--- |
| Website URL | https://www.deepl.com | https://github.com/openai/whisper |
| Categories | AI Translate, AI Writing Assistants, AI API, AI Voice Translator | AI Speech Recognition, AI Speech-to-Text, AI Transcriber, AI Translate |
| Pricing Model | Freemium | Free |
| Monthly Visits | 95,110,871 | 0 |
| MoM Growth Rate | -1.7% | — |
| Primary Market | Germany | Global |
| Direct Visits | 60,380,947 | 0 |
| Review Score | 5 | 5 |
| Saved Count | 135 | 3 |
| Supported Platforms | Website | Open Source |

## DeepL

DeepL is a specialist Language AI company widely recognized by professional translators, localization managers, and multinational enterprises for delivering more natural, idiomatic translations than general-purpose search translators or raw foundational LLMs. Headquartered in Cologne, Germany, DeepL trains proprietary neural networks and specialized language models tuned specifically for cross-lingual nuance, register, and domain accuracy across more than 30 languages. Over 200,000 businesses globally rely on DeepL to handle sensitive legal, technical, financial, and marketing communications.

The platform spans three integrated product pillars: DeepL Translator, DeepL Write, and DeepL Voice. DeepL Translator handles instant text translation and full-document conversion—preserving exact typography, embedded images, and page layouts across PDF, Microsoft Word (.docx), PowerPoint (.pptx), and Excel (.xlsx) files up to 100 MB. Through its Customization Hub, teams enforce corporate terminology using Shared Glossaries, Translation Memory, and Shared Style Rule Lists, while interactive Clarify prompts resolve source-text ambiguities. DeepL Write Pro acts as an AI writing co-pilot that refines tone, fluency, and audience adaptation in real time, and DeepL Voice delivers live multilingual captions and speech-to-speech translation for virtual meetings and face-to-face conversations.

DeepL offers a Free web and app tier capped at 50,000 characters and one 5 MB file per month, where submitted text may be used to train public models. For strict confidentiality—including immediate text deletion after translation, zero data training, ISO 27001 certification, and SOC 2 Type II compliance—users upgrade to DeepL Pro. In its current tier structure (which replaced legacy Starter, Advanced, and Ultimate naming), Individual costs $8.74/month (€7.49/month billed annually) for 300,000 characters and 3 files/month; Team costs $28.74/user/month (€24.99/month) for 1M characters, 20 files, and shared style rules; and Business costs $57.49/user/month (€49.99/month) for unlimited text translation, 100 files/month, Translation Memory, and bundled DeepL Write Pro.

**Pricing & Plans:** Offers a Free tier (50,000 characters/month and 1 file up to 5 MB); paid DeepL Pro plans billed annually are Individual at $8.74/month (€7.49/month), Team at $28.74/user/month (€24.99/user/month), and Business at $57.49/user/month (€49.99/user/month, which bundles DeepL Write Pro), plus custom Enterprise and metered API plans. All paid Translator plans include 30 minutes/user/month of DeepL Voice.

- **Layout-Preserving Document Translation:** Translates whole PDF, Word (.docx), PowerPoint (.pptx), Excel (.xlsx), and HTML files up to 30 MB (Individual/Team) or 100 MB (Business/Enterprise) while keeping original fonts, tables, slides, and visual formatting intact.
- **Customization Hub: Glossaries, Style Rules & Translation Memory:** Ensures consistent brand and technical terminology across language pairs using CSV-importable shared glossaries, automated glossary generation, shared style rule lists, and translation memory.
- **DeepL Write Pro AI Writing Assistant:** Enhances original drafts and translated copy with real-time sentence rewrites, word alternatives, and one-click tone adjustments (e.g., Business, Academic, Casual, Diplomatic) via browser, desktop, and Microsoft 365/Google Workspace add-ins.
- **DeepL Voice for Meetings & Conversations:** Provides real-time spoken language translation and live multilingual captions for video conferences and mobile in-person dialogues, with 30 minutes per user per month included in paid DeepL Pro plans.
- **Zero-Retention Enterprise Security & BYOK:** Guarantees that Pro subscriber texts are never stored or used for AI model training, backed by ISO 27001-certified European data centers, SOC 2 Type II compliance, SAML SSO, SCIM provisioning, and Enterprise Bring Your Own Key (BYOK) encryption.

**Strengths:** Consistently outperforms generic machine translators in idiomatic fluency, register control (formal vs. informal), and specialized European and Asian language pairs.; Best-in-class document translation preserves intricate PowerPoint, Word, and PDF formatting without manual desktop publishing rework.; Uncompromising enterprise privacy posture with immediate deletion of Pro translations, no model training on customer data, and optional BYOK encryption.; Unified ecosystem combining text translation, DeepL Write Pro stylistic editing, and 30 monthly minutes of DeepL Voice in standard Pro seats.

**Limitations:** TheIndividual plan ($8.74/mo / €7.49/mo) is capped at 300,000 characters and just 3 file translations per month, requiring a jump to Team ($28.74/mo) or Business ($57.49/mo) for heavy workloads.; Supports roughly 30+ core languages, which is significantly narrower than Google Translate's 130+ language catalog for rare regional dialects.; DeepL Write Pro requires an extra €6.99/user/month add-on for Individual and Team subscribers unless upgrading to the Business tier.

[Profile (Markdown)](https://openaitools.app/tool/deepl.md)

## Whisper (OpenAI)

Whisper was introduced by OpenAI as a general-purpose speech recognition model trained on a very large, diverse dataset of web audio. Instead of stacking separate acoustic, language and punctuation modules, it treats every speech task as a token prediction problem: transcription, translation, language identification and voice activity detection all share one Transformer encoder-decoder and are distinguished by special task tokens. That single-model design is why a straightforward `pip install` is enough to get multilingual transcription running on a laptop, and why Whisper has become a de facto baseline for open speech-to-text work.

The repository ships six model sizes — tiny, base, small, medium, large and a faster turbo variant — trading accuracy for memory and speed. Each size also has an English-only `.en` counterpart that tends to score better on English audio, while the multilingual checkpoints are the ones to use when translating non-English speech into English. Practical VRAM needs range from roughly 1 GB for tiny up to about 10 GB for large, so the smaller checkpoints run comfortably on consumer hardware or even CPU, while large models are usually paired with a GPU.

Because Whisper is a model and a Python package rather than a hosted product, there is no dashboard, account or quota. You install it, point the command line at audio files, and write your own integration on top. It supports many audio formats through ffmpeg, and its per-language accuracy varies widely — strong for high-resource languages, weaker for low-resource ones — which is worth knowing before adopting it for production transcription.

**Pricing & Plans:** Free and open source. The code and weights are published on GitHub under the MIT license with no usage fees or per-minute charges, though you pay for whatever compute you run it on and any OpenAI API usage if you pair it with their hosted services.

- **Multitask single model:** One Transformer handles transcription, speech translation into English, language identification and voice activity detection, selected through special task tokens.
- **Multiple model sizes:** Choose from tiny, base, small, medium, large and turbo checkpoints, with English-only .en variants, to balance accuracy against VRAM and speed.
- **Broad language coverage:** Multilingual checkpoints transcribe and translate dozens of languages, with automatic language detection on mixed-language audio.
- **Command-line and Python API:** Install via pip with openai-whisper and transcribe files from the terminal or from your own Python code, with ffmpeg handling audio decoding.
- **Permissive MIT license:** Freely embed, modify and redistribute the code and weights in commercial and personal projects without licensing fees.

**Strengths:** Completely free and open source under a permissive MIT license; Strong multilingual accuracy across many languages with automatic detection; Runs locally, so audio never has to leave your hardware; Several model sizes let you match accuracy to available compute

**Limitations:** No hosted UI, account or support — you must install and operate it yourself; Large models need substantial VRAM and a GPU for reasonable speed; Accuracy drops noticeably on low-resource languages and noisy audio; Setup requires Python, PyTorch and ffmpeg, which can be fiddly for non-developers

[Profile (Markdown)](https://openaitools.app/tool/whisper-github.md)

## Frequently Asked Questions

### How do DeepL and Whisper (OpenAI) compare in monthly traffic?

DeepL has 95,110,871 monthly visits, while Whisper (OpenAI) has 0. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

DeepL has a month-over-month growth rate of -1.7%; Whisper (OpenAI) has —.

### How does pricing compare?

DeepL: Freemium. Offers a Free tier (50,000 characters/month and 1 file up to 5 MB); paid DeepL Pro plans billed annually are Individual at $8.74/month (€7.49/month), Team at $28.74/user/month (€24.99/user/month), and Business at $57.49/user/month (€49.99/user/month, which bundles DeepL Write Pro), plus custom Enterprise and metered API plans. All paid Translator plans include 30 minutes/user/month of DeepL Voice. Whisper (OpenAI): Free. Free and open source. The code and weights are published on GitHub under the MIT license with no usage fees or per-minute charges, though you pay for whatever compute you run it on and any OpenAI API usage if you pair it with their hosted services.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [DeepSeek](https://openaitools.app/tool/deepseek) | 372,761,591 | +4.3% | Freemium | High-efficiency open-weight and hosted reasoning AI powered by DeepSeek-V4 and R1 at ultra-low token costs. | [.md](https://openaitools.app/tool/deepseek.md) |
| 2 | [ZeroGPT](https://openaitools.app/tool/zerogpt) | 32,864,541 | +19.7% | Freemium, Paid | AI content detection and a full writing toolkit in one place | [.md](https://openaitools.app/tool/zerogpt.md) |
| 3 | [TurboScribe](https://openaitools.app/tool/turboscribe-ai) | 27,661,771 | +2.1% | Freemium | Unlimited AI transcription of audio and video in 98+ languages | [.md](https://openaitools.app/tool/turboscribe-ai.md) |
| 4 | [Claude](https://openaitools.app/tool/claude-3) | 18,695,610 | +9.1% | Freemium, Contact for Pricing | Anthropic's AI assistant for real work, from chat to agents | [.md](https://openaitools.app/tool/claude-3.md) |
| 5 | [BigModel](https://openaitools.app/tool/bigmodel) | 5,700,686 | -17% | Freemium, Free Trial, Paid, Contact for Pricing | Zhipu AI's open platform for GLM large models, multimodal APIs, and agent building | [.md](https://openaitools.app/tool/bigmodel.md) |
| 6 | [Kagi Search](https://openaitools.app/tool/kagi-search) | 4,647,605 | +3.2% | Free Trial, Paid | A paid, ad-free search engine that answers to its users | [.md](https://openaitools.app/tool/kagi-search.md) |
| 7 | [Monica](https://openaitools.app/tool/monica-ai) | 4,512,775 | -11.3% | Freemium | All-in-one AI assistant across web, browser, desktop and mobile | [.md](https://openaitools.app/tool/monica-ai.md) |
| 8 | [Fireflies.ai](https://openaitools.app/tool/fireflies-ai) | 4,411,502 | +3% | Freemium | AI teammate that records, transcribes and summarizes every meeting | [.md](https://openaitools.app/tool/fireflies-ai.md) |
| 9 | [Happy Scribe](https://openaitools.app/tool/happyscribe-com) | 4,088,330 | +8% | Freemium, Free Trial, Paid | AI transcription and meeting notes in 150+ languages | [.md](https://openaitools.app/tool/happyscribe-com.md) |
| 10 | [SourceNext](https://openaitools.app/tool/top) | 4,015,318 | +33.8% | Paid | Japanese software storefront bundling AI translation, OCR, transcription, and PDF tools | [.md](https://openaitools.app/tool/top.md) |

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Source: https://openaitools.app/compare/deepl-vs-whisper-github

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