Data Ingestion

Syncora lets you quickly upload sample data or connect external sources. It automatically detects schema and prepares your data for high-quality synthetic generation.

Supported Data Modalities

Syncora supports a wide range of data types to cover common machine learning and analytics use cases. Below are the currently supported modalities and their accepted file formats:

🔢 Tabular Data

• Formats Supported: CSV

• Use Cases: Ideal for structured data such as user profiles, transactions, and product catalogs.

• Note: Syncora automatically infers column types and applies schema optimization.

🧾 JSON / JSONL

• Formats Supported: TXT, PDF

• Use Cases: Commonly used for model training (e.g., fine-tuning LLMs), dialog systems, and structured NLP inputs.

• Note: Schema is auto-inferred. Ensure JSONL is line-delimited for best performance.

⏱️ Time-Series Data

• Formats Supported: CSV

• Required Schema: Must include at least two columns – a timestamp and a value.

• Use Cases: Forecasting, behavioral analytics, anomaly detection, etc.

🖼️ Images (Beta)

• Formats Supported: PNG, JPG

• Labeling: Labels are optional but can be provided as a separate file or embedded metadata.

• Use Cases: Computer vision tasks like image classification and object detection.

Plan-Based Quotas

Syncora’s generation limits are based on your selected plan and apply to both input and output data volumes.

Plan	Monthly Quota	Monthly Charges	Special Features
Free	100 MB	$ 0 per month	Suitable for beginners
Growth	8  GB	$499 per month	Designed for startups and smaller teams
Hyperscale	40  GB	$1999 per month	Suitable for large teams and model training workflows
Enterprise(upcoming)	Custom	Custom	Includes VPC deployment and flexible billing options

⚠️ Quotas are calculated as the combined size of all uploaded inputs and generated outputs.