TokenSwift-Pro

TokenSwift Pro is a web-based AI prompt optimizer and token compressor for prompts used with ChatGPT, Claude, Gemini, DeepSeek, and Llama models. It is positioned as a privacy-focused tool that removes conversational bloat, clarifies instructions, and reduces prompt length before submission to an LLM. The homepage advertises compression of AI prompts up to 40%–50% depending on mode and model, and provides estimated input, output, and cost savings. TokenSwift Pro offers several compression modes: Declarative Directives (free), Dense Shorthand (Pro), and Ultra-Concise Core (Pro). Its engine is described as TextRank plus Semantic Pruning, with target-specific handling for models such as Claude 3.5 Sonnet, ChatGPT GPT-4o, Gemini 1.5 Pro, DeepSeek V3, and Llama 3.3 70B. Users can paste prompts, compress them, copy or export the optimized result, and use a one-liner output. The site also mentions a token cost calculator and local data clearing. TokenSwift Pro states that prompt compression is processed strictly in-memory on its dedicated backend semantic engine, and that prompts are never stored, logged, or shared with external AI providers. It warns that optimized prompts should be reviewed because automated checks do not guarantee semantic equivalence, and that token and cost estimates are informational and may differ from actual provider tokenization and billing. The service is independent and not affiliated with OpenAI, Anthropic, Google, DeepSeek, or Meta. It offers limited free daily compressions, Pro trial passes, and paid Pro plans.

Category: Privacy Security
Pricing: Paid

Problem solved

LLM prompts often include unnecessary conversational text, verbose instructions, and redundant context, which consume tokens and can increase API costs and latency. TokenSwift Pro compresses prompts for popular model families and provides estimated token and cost savings, while claiming private, no-storage processing so users can reduce prompt size without exposing their prompt content to external AI providers.

Use cases

Compress system prompts and developer instructions for API calls
Reduce ChatGPT, Claude, Gemini, and DeepSeek prompt token costs
Optimize long customer support prompts before submission
Shorten SQL and analytics prompts while retaining core directives
Prepare Llama 3 prompts for local or hosted inference
Estimate token and cost savings before sending prompts to an LLM
Clear local prompt data for privacy

Audience

Developers
ML Engineers
Business Users
Content Creators
Researchers

Pros

Supports multiple target models including ChatGPT, Claude, Gemini, DeepSeek, and Llama
Offers multiple compression modes with different density and quality tradeoffs
Provides estimated token usage and cost savings before sending prompts
States that prompts are never stored, logged, or shared with external AI providers
Includes free daily compressions and low-cost Pro trial passes

Cons

Not open source and no public GitHub repository is listed
Compression may alter prompt meaning; the site warns that semantic equivalence is not guaranteed
Token and cost estimates are informational and may differ from actual provider billing
Privacy claims require trusting the service's backend processing model
Details on Pro plan features, limits, and enterprise controls are limited on the homepage

Official website: https://tokenswift-pro.com/

Canonical LambdaBase page: https://www.lambdabase.com/tools/tokenswift-pro

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TokenSwift-Pro

Paid

★ 1 • Updated Sep 14, 2026, 03:51 PM

TokenSwift Pro is a web-based AI prompt optimizer and token compressor for prompts used with ChatGPT, Claude, Gemini, DeepSeek, and Llama models.

Use Cases ▼

Compress system prompts and developer instructions for API calls

Reduce ChatGPT, Claude, Gemini, and DeepSeek prompt token costs

Optimize long customer support prompts before submission

Shorten SQL and analytics prompts while retaining core directives

Prepare Llama 3 prompts for local or hosted inference

Estimate token and cost savings before sending prompts to an LLM

Clear local prompt data for privacy

What Problem It Solves ▼

Key Features ▼

✓

Supports multiple target models including ChatGPT, Claude, Gemini, DeepSeek, and Llama

✓

Offers multiple compression modes with different density and quality tradeoffs

✓

Provides estimated token usage and cost savings before sending prompts

✓

States that prompts are never stored, logged, or shared with external AI providers

✓

Includes free daily compressions and low-cost Pro trial passes

Overview

Full Description ▼

TokenSwift Pro offers several compression modes: Declarative Directives (free), Dense Shorthand (Pro), and Ultra-Concise Core (Pro). Its engine is described as TextRank plus Semantic Pruning, with target-specific handling for models such as Claude 3.5 Sonnet, ChatGPT GPT-4o, Gemini 1.5 Pro, DeepSeek V3, and Llama 3.3 70B. Users can paste prompts, compress them, copy or export the optimized result, and use a one-liner output. The site also mentions a token cost calculator and local data clearing.

TokenSwift Pro states that prompt compression is processed strictly in-memory on its dedicated backend semantic engine, and that prompts are never stored, logged, or shared with external AI providers. It warns that optimized prompts should be reviewed because automated checks do not guarantee semantic equivalence, and that token and cost estimates are informational and may differ from actual provider tokenization and billing. The service is independent and not affiliated with OpenAI, Anthropic, Google, DeepSeek, or Meta. It offers limited free daily compressions, Pro trial passes, and paid Pro plans.