TextSynth Text Completion lets you type—then watch language models finish your thoughts. Each attempt produces a different completion (randomly selected from the same prompt). You won't get one perfect answer. You'll see multiple possibilities instead.
You get access to several models in the playground. Pick Mistral 7B. Jump to Llama3.3 70B instruct when you need more horsepower. Gemma 3 27B instruct sits in the middle. Llama3.1 8B instruct handles lighter tasks. Sliders control top-k, top-p, temperature, max tokens and stop sequences. Tweak these—output shifts dramatically.
Pre-built examples help you start fast. There's prompts for unicorns that speak English. Area 51 speculation. Cooking instructions and Game of Thrones scenarios. Linux and C program examples show how developers might use this. A question-answer template exists too. The HTML example demonstrates code generation.
TextSynth added more features over time beyond text completion. Text-to-image generation lives here. Chat functionality plus voice chat. Speech-to-text and text-to-speech conversions round out what you can do. A translator handles language swaps.
Content creators experimenting with different narrative directions could generate five story continuations in seconds—not manually write each version. The randomness means you can't predict what you'll get. That's either useful for creative exploration or frustrating when you need consistency. Parameter controls help. They don't guarantee repeatable results though.
