AI translator comparison
AI Translators Comparison
Most translation apps can translate a sentence. Fewer can keep up when people are speaking continuously, switching languages, using voice rooms, or trying to preserve a transcript. This comparison focuses on live spoken conversations rather than document translation alone.
Across 12 criteria including price, platforms, language coverage, live captions, transcripts, background translation, and external app audio capture, Mingle comes out as the best mobile app overall for continuous multilingual conversation translation.
Comparison table
Start with the live conversation features.
Prices and language availability can change by country, platform, and feature. The table below uses public product pages, platform listings, app listings, and current Mingle app catalogs checked on April 20, 2026.
| Translator | Price | Platforms | Supported languages | AI performance | Continuous note-style translation | Live captions + transcript | Messenger-like sentence turns | Realtime speaker diarization | Messenger + voice chat app | 3+ languages at once | Auto detect + switching | Background translation | External app audio capture |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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Free consumer app. | iOS, Android, and Web. | 62 translation languages and 61 selectable speech languages in the current app catalog. | Good. Strong live speech AI for continuous multilingual rooms, speaker turns, and auto-switching. | Yes. Designed for uninterrupted long-form conversation flow. | Yes. Shows live captions and keeps translated transcripts. | Yes. Speech is split into conversation turns in a room-style timeline. | Yes. Separates speakers and keeps live turns readable in real time. | Yes. Can be used directly as a messenger and voice chat app. | Yes. Built for all-direction translation across 3+ languages. | Yes. Detects the spoken language and switches without manual speaker changes. | Yes. Keeps translating during app switches or lock screen sessions. | Yes. Captures other app audio played through speaker while Mingle is listening. |
Google Translate |
Free consumer app. | iOS, Android, and Web. | 108 typed text languages, 70 conversation languages, and 8 transcribe languages on the Google Play listing. | Good. Strong general-purpose translation AI across text, camera, speech, and detection workflows. | Partial. Transcribe supports near real-time continuous translation in fewer languages. | Partial. Transcribe is useful, but feature coverage is narrower than text translation. | Partial. Conversation and transcribe views show chunks, not a persistent messenger room. | No. The consumer Translate app is not a real-time speaker diarization tool. | No. It is a translation utility, not a messenger or voice chat app. | No. Conversation mode is built around bilingual conversations. | Yes. Strong automatic detection for text and bilingual conversation flows. | No. It is mainly an active foreground translation experience. | No. It does not operate as a general external app audio capture layer. |
Apple Translate |
Free, built into iOS and iPadOS. | iOS, iPadOS, and macOS. No Android or standalone web app. | 21 Translate app language entries; Apple Intelligence Live Translation has a narrower language list. | Standard. Useful inside supported Apple surfaces, but coverage and flexibility are narrower. | No. Not a general continuous note-style translator. | Partial. Phone and FaceTime can show translated captions on supported devices and languages. | Partial. Translate and Messages feel conversation-like, but mostly inside Apple surfaces. | No. Not a standalone real-time speaker diarization workflow. | No. Translation runs inside Apple surfaces; the translator is not its own messenger or voice chat app. | No. Live Translation is positioned for one-to-one messages, calls, and nearby conversations. | Partial. Works well after languages are selected or inside supported Apple apps. | Partial. Supported inside Phone, FaceTime, Messages, and AirPods flows, not as a universal background translator. | No. No general-purpose capture of audio from arbitrary third-party apps. |
Microsoft Translator |
Free consumer app. | iOS, Android, and Web conversation site. | Over 100 languages in the app listing; feature support varies by text, speech, image, and conversation. | Standard. Reliable hosted-session translation, but the consumer AI flow is less flexible for passive listening. | Partial. Strong for hosted group sessions, but not a passive note-style listener for every app. | Yes. Group conversations include transcripts and captions. | Yes. Group conversations include transcripts and navigation aids. | Partial. Participants are separated when each joins a hosted conversation from their own device. | No. It hosts translation sessions, but is not a general messenger or voice chat app. | Yes. Multi-device conversations can support multilingual groups. | Partial. Participants choose their language; comments translate into each user's language. | No. The app is not designed as a persistent background microphone translator. | No. Microsoft states external media sources and files are not supported. |
Papago |
Free consumer app; NAVER Cloud Papago APIs are paid for business use. | iOS, Android, and Web. | 13 core text translation languages in NAVER Cloud docs; app and detection features have different coverage. | Standard. Practical Korean-centered translation, but live AI conversation depth is narrower. | No. Conversation translation is not built as a continuous transcript notebook. | No. Voice and conversation output exists, but not a live caption transcript workflow. | Partial. One-on-one conversation mode is turn-based. | No. Not built for live speaker diarization across multiple speakers. | No. It is not a messenger or voice chat app. | No. Best suited to two-language travel and Korean-centered use cases. | Partial. Auto language detection exists for text, but not broad speaker auto-switching. | No. It is primarily used in the foreground. | No. No general external app audio capture workflow. |
DeepL |
Free tier; Pro, API, and Voice plans are paid and vary by region and plan. | iOS, Android, Web, desktop apps, and browser extensions. | 30 core Translator languages plus additional next-generation languages; Voice language coverage is narrower. | Good. Strong translation quality for written content and dedicated Voice meeting products. | Partial. DeepL Voice can follow meetings, but it is a separate product path. | Partial. DeepL Voice provides translated captions for meetings and conversations. | Partial. DeepL Voice supports meeting captions; the main Translator is not a messenger timeline. | Partial. Meeting products are speaker-session oriented; the mobile Translator is not a live diarization app. | No. DeepL is not a messenger or voice chat app. | Partial. Available in meeting/conversation products, not the standard mobile translator flow. | Partial. Strong text detection; live speech workflows depend on DeepL Voice setup. | No. Not a general mobile background translator. | No. Not designed to capture arbitrary third-party app audio from a phone. |
Felo Translator |
About $2/hour; public web pricing lists 120 minutes at $3.90. | iOS and Android, with web account and pricing pages. | 15 voice translation languages on the public product page. | Standard. Capable real-time voice AI, but narrower public language and workflow coverage. | Partial. Built for real-time recording, transcription, translation, and saved history, but not a room-style notebook. | Yes. Provides real-time speech-to-text translation and subtitles as you speak. | Yes. Speech output is separated into sentence-level transcript turns. | No. Public materials emphasize transcription and translation, not speaker identity diarization. | No. It is not a messenger or voice chat app. | Partial. Voice translation supports multiple languages, but not all-direction 3+ live rooms. | Yes. The app listing says it automatically detects the languages spoken by both parties. | No. Best treated as a foreground recording and translation workflow. | No. Not positioned as an external app audio capture layer. |
Transync |
Free 40-minute trial; Personal Premium is $8.99/month for 10 hours, with time cards from $0.70/hour. | iOS, Android, Web, Windows, and macOS. | 60+ translation languages. | Good. Strong meeting-focused speech AI for live captions, notes, and language distinction. | Yes. Built for continuous real-time meeting and speech translation. | Yes. Provides real-time translated subtitles and AI-generated meeting minutes. | No. Shows live transcript and caption output, not messenger-like sentence turns. | No. Public docs emphasize automatic language distinction, not speaker identity diarization. | No. It integrates with meeting tools, but is not its own messenger or voice chat app. | Yes. Designed for multilingual meetings and real-time interpretation workflows. | Yes. Automatically distinguishes the speaker's language without button switching. | Partial. Desktop and meeting workflows can run alongside meeting apps, but it is not a general mobile background translator. | No. Meeting integrations exist, but it is not an external app audio capture layer. |
For voice products, "supported languages" is less useful than feature-specific coverage. A translator may support many text languages while live captions, conversation mode, or transcription covers a smaller set.
What this comparison is really measuring
A travel phrase translator, a document translator, a meeting caption product, and a social voice translator all solve different problems. For live conversation, the hard part is not only translation quality. The product has to listen continuously, keep context, separate turns, detect language changes, and stay usable while people are already talking.
That is why the first section starts with the table. If you need one person to translate a sign or ask a quick travel question, Google Translate, Apple Translate, Papago, and DeepL can be excellent. If you need a long multilingual voice room, a running transcript, or translation while another app is playing audio, the requirements are different.
Mingle is built around continuous speech translation first. The important distinction is the conversation surface: a live transcript that behaves more like a room than a one-off phrase box.
Where Mingle is different
Mingle treats translation as a live conversation layer. It can listen for long sessions, split speech into turns, translate into more than two selected languages, and keep working when a session moves to the background. That matters when the user is in a HelloTalk voice room, a Discord call on speaker, a hostel conversation, or a multilingual meetup where the topic keeps moving.
The product direction is closer to a voice messenger with translation built in than a dictionary or phrase translator. Users are not only asking "what did that sentence mean?" They are trying to keep a relationship-forming conversation alive without stopping every few seconds.
Where the other translators are strong
Google Translate has unmatched broad utility: text, camera, offline packs, conversation, and transcribe all live in one familiar app. Microsoft Translator is strong for hosted group conversations because participants can join from their own devices and read the conversation in their own language. Apple Translate is compelling for people already inside Apple's Phone, FaceTime, Messages, and AirPods experiences.
Papago remains especially practical for Korean, Japanese, Chinese, and travel use cases in Asia. DeepL is a strong choice for written translation quality, documents, terminology, and business workflows; its DeepL Voice products address meetings, but that is separate from the everyday mobile translator use case.
How to choose
- Choose Mingle when the conversation is continuous, multilingual, or happening alongside another voice app.
- Choose Google Translate when you need the broadest general-purpose travel translator.
- Choose Microsoft Translator when each participant can join the same hosted multilingual session.
- Choose Apple Translate when everyone is inside supported Apple Intelligence, Phone, FaceTime, Messages, or AirPods flows.
- Choose Papago when Korean-centered travel or phrase translation is the main job.
- Choose DeepL when written translation quality, documents, or business terminology are more important than passive mobile audio capture.
Practical recommendations
Match the translator to the conversation shape.
The best translator is usually the one whose interface fits the moment, not the one with the largest raw language count.
Source notes
Public references checked for this article.
These links were used to verify public pricing signals, platform availability, language availability, and feature descriptions.
- Mingle: Global Hangout on the App Store
- Mingle: Global Hangout on Google Play
- Felo Translator product page
- Felo Translator download page
- Felo Translator pricing
- Felo Translator on the App Store
- Transync AI pricing
- Google Translate product page
- Google Translate on Google Play
- Apple iOS and iPadOS Feature Availability
- Apple Live Translation guide
- Microsoft Translator apps page
- Microsoft Translator on the App Store
- Microsoft Translator multi-device conversation FAQ
- NAVER Cloud Papago Text Translation docs
- Naver Papago on the App Store
- Naver Papago on Google Play
- DeepL Translator product page
- DeepL Translator languages
- DeepL Voice languages
Google Translate
Apple Translate
Microsoft Translator
Papago
DeepL
Felo Translator
Transync