Find the perfect plan for your needs. We offer monthly subscription and credit packs.
Need more credits? Purchase additional credit packs starting at just $2. Available to all tiers, these credit packs provide flexibility for your usage needs. Credits valid for a whole year from purchase!
Utilize credits for various features, available through plans or purchased separately.
Translate subtitles (SRT & ASS) using all available AI models for over 100+ languages.
Analyze content to extract characters, settings, plot, and relationships.
Convert audio into subtitle text. Supports large files and background processing.
Efficiently manage and organize your translation projects, subtitles, and related assets locally.
Conveniently export your project data for backup or transfer, and import projects to continue your work seamlessly.
Select from a wide range of AI models available on the platform.
Access Discord community and email support resources.
Discover how credits work and how they provide flexible access to our powerful AI tools.
Credits used for features like Translation, Transcription, and Context Extraction. Using these features will deduct credits from your balance. See "Credit Usage" below for details.
You can receive credits by purchasing credit packs as needed.
You can see your remaining credit balance and usage history in User Information page.
Different LLMs (Large Language Models) have varying performance when it comes to different languages and tasks.
For example, DeepSeek models excel at English and Chinese (surprisingly good at Indonesian too) but may struggle with other languages, while some models like Gemini and Claude are multilingual and perform well across many languages.
It's important to experiment with different models to find the best fit for your specific language and use case.
Generally, Gemini 2.5 Pro, GPT 4.1, and Claude Sonnet provide excellent results for most use cases and languages.
Credit costs vary based on the specific AI model used. Costs are typically calculated based on the number of input and output tokens processed. More models will be added in the future. See the estimated costs below.
| Model | Credit per Input Token | Credit per Output Token | Context Length | Max Completion | Score |
|---|---|---|---|---|---|
| DeepSeek R1💙 | 0.605 | 2.409 | 128k tokens | 128k tokens | - |
| DeepSeek V3 | 0.33 | 1.1 | 128k tokens | 128k tokens | - |
| Gemini 2.5 Pro Preview⭐ | 1.5 | 12 | 1M tokens | 66k tokens | - |
| Gemini 2.5 Flash Preview💙 | 0.18 | 4.2 | 1M tokens | 66k tokens | - |
| Gemini 2.0 Flash | 0.12 | 0.48 | 1M tokens | 8k tokens | - |
| Gemini 1.5 Flash-8B🌎 | 0.045 | 0.18 | 1M tokens | 8k tokens | - |
| Gemma 3 27B🌎 | 0.12 | 0.36 | 110k tokens | 16k tokens | - |
| Claude 4 Sonnet | 3.6 | 18 | 200k tokens | 64k tokens | - |
| Claude 3.7 Sonnet⭐ | 3.6 | 18 | 200k tokens | 64k tokens | - |
| Claude 3.7 Sonnet (non-thinking) | 3.6 | 18 | 200k tokens | 64k tokens | - |
| Claude 3.5 Sonnet | 3.6 | 18 | 200k tokens | 8k tokens | - |
| Claude 3.5 Haiku | 0.96 | 4.8 | 200k tokens | 8k tokens | - |
| Grok 3 Beta | 3.6 | 18 | 131k tokens | 131k tokens | - |
| Grok 3 Mini Beta | 0.36 | 0.6 | 131k tokens | 131k tokens | - |
| OpenAI o3 | 2.4 | 9.6 | 200k tokens | 100k tokens | - |
| OpenAI o4-mini | 1.32 | 5.28 | 200k tokens | 100k tokens | - |
| OpenAI o3-mini | 1.32 | 5.28 | 200k tokens | 100k tokens | - |
| GPT-4.1⭐ | 2.4 | 9.6 | 1M tokens | 33k tokens | - |
| GPT-4.1 mini | 0.48 | 1.92 | 1M tokens | 33k tokens | - |
| GPT-4.1 nano | 0.12 | 0.48 | 1M tokens | 33k tokens | - |
| GPT-4o | 3 | 12 | 128k tokens | 16k tokens | - |
| GPT-4o mini | 0.18 | 0.72 | 128k tokens | 16k tokens | - |
| Llama 4 Maverick🌎 | 0.24 | 0.72 | 1M tokens | 1M tokens | - |
| Llama 4 Scout🌎 | 0.12 | 0.36 | 1M tokens | 1M tokens | - |
| Qwen3 235B A22B🌎 | 0.24 | 0.72 | 40k tokens | 40k tokens | - |
| Qwen3 30B A3B🌎 | 0.12 | 0.36 | 40k tokens | 40k tokens | - |
| Free Models | 0 | 0 | Varies | Varies | - |
* These are estimated costs and limits, and are subject to change. Input/Output token costs may vary. Refer to the dashboard for precise figures.
Token: A unit of text processed by the LLM. Roughly 4 characters or 0.75 words.
Context Length: The maximum number of tokens (input + output history) the model can consider at once.
Max Completion: The maximum number of tokens the model can generate in a single response.
Transcription tasks consume credits based on the duration of the audio processed. The credit cost differs when the audio is less than 100 minutes compared to when it is more than 100 minutes. Yes, you can split your audio first for better pricing.
| Model Type | Credit per 1 minute audio | Credit per Output Token | Max File Size |
|---|---|---|---|
| Free Limited | 0 | 0 | 100 MB |
| Premium (<= 100 minutes) | 2760 | 11.5 | Soon |
| Premium (> 100 minutes) | 5520 | 17.25 | Soon |
* The costs shown are not including system prompts and custom instructions input costs.
Background processing allows certain tasks, like audio transcriptions, to run on our servers even if you close the browser tab.
This means you don't have to wait for the process to finish. This feature will be available soon.
Ever wondered what 2 Million Credits can get you? Hours of subtitle translation using powerful DeepSeek R1 with context-memory enabled!
*Credit cost varies (e.g., Example 1: 104,051 credits ≈ 100 min, ~1041/min; up to Example 2: 110,260 credits ≈ 26 min, ~4241/min). The time shown (~12h 37m) uses an average rate (~2641 credits/min).