Pyntic
New Feature Available

Master Native Pronunciation with Real-World Context

Don't settle for robotic TTS. Discover how native speakers actually use words in conversation, slang, and formal speech with precise video timestamps.

?

The Problem

Dictionary audio and text-to-speech engines lack the nuance, prosody, and emotional context of real speech. Language learners often waste hours scrubbing through videos trying to find a specific word used naturally, only to struggle with inaccurate auto-generated captions or lack of repetition tools. Without hearing words in a real sentence, it's impossible to master the rhythm of the language.

!

The Solution

Pyntic bridges the gap between study and immersion. We index public YouTube transcripts to give you instant access to thousands of native examples. Whether you are practicing the "Shadowing" technique or sentence mining for your flashcards, Pyntic delivers the exact second a word is spoken, allowing you to hear the linking sounds, intonation, and true native accent.

Powerful Features for Deep Video Search

Designed for speed, accuracy, and ease of use.

1

Precision Shadowing

Jump to the exact second a phrase begins to practice repeating alongside the native speaker for perfect intonation.

2

Dialect & Accent Discovery

Search across specific channels to hear how a word sounds in British vs. American English, Iberian vs. Latin American Spanish, and more.

3

SRS & Anki Integration

Export transcript snippets with timestamps directly to CSV. Create audio-rich flashcards for tools like Anki, Quizlet, or SuperMemo in seconds.

4

Contextual Immersion

See the sentences surrounding your target word to understand collocation—which words naturally go together.

5

Multi-Language Support

Works with any video containing captions, supporting over 40 languages including Japanese, Spanish, French, German, and Korean.

How it works

1

Input target vocabulary: Type a specific word, idiom, or phrasal verb. Use fuzzy matching to catch colloquial variations.

2

Filter by Native Source: Restrict results to specific channels or playlists known for high-quality native speech to ensure accurate input.

3

Listen & Export: Play the clips to verify the nuance, then export the transcript data to your spaced-repetition system (SRS).

Frequently Asked Questions

Is this better than Google Translate audio?

Yes. Google Translate uses Text-to-Speech (TTS), which is robotic and perfect. Pyntic shows you "connected speech"—how natives slur, link, and shorten words in reality.

Can I use this for "Sentence Mining"?

Absolutely. This is built for the sentence mining workflow. You can find "i+1" sentences (sentences you mostly understand except for one word) and export them for study.

How accurate are the timestamps for loop listening?

We utilize the underlying YouTube timestamp data, which is generally accurate within 1-2 seconds, making it perfect for looping a section to practice shadowing.

Does it support auto-generated captions?

Yes, but we label them. While human-written captions are best, our search also indexes auto-generated captions, giving you the widest possible range of examples.

Which export formats work best for Anki?

We recommend the CSV export. It formats the front (word) and back (context sentence + link) specifically for easy import into Anki decks.

Ready to get started?

Join thousands of creators using Pyntic to optimize their content workflow today.