Doka is a web application that turns heterogeneous content—PDFs, Word/PowerPoint files, Excel sheets, images, audio, and YouTube videos—into a conversational knowledge base. Users upload assets into organized folders and then query them in natural language. Answers are returned with citations, page numbers, and highlighted passages, emphasizing verifiable retrieval. The service positions itself as private by default and built for centralized knowledge management.
Core capabilities
- Unified ingestion across modalities
Upload PDFs, DOC/DOCX, PPT/PPTX, XLS/XLSX; link YouTube videos; and add audio files. All assets live in user-defined folders for project-level organization.
- Conversational querying with grounded answers
Users ask questions “to” their content. Responses include citations with page references and visual highlights to support rapid verification and drill-down.
- No-hurdle trial experience
A “Try it now” entry point is exposed from the landing page (no sign-up required to test the experience), lowering friction for evaluation.
- Privacy posture
The privacy policy emphasizes no third-party sharing of personal information and “confidentiality of user content,” with data used to provide the service, while acknowledging standard web security caveats. Terms specify a limited license to process user content for delivering the service.
Sample – Architecture for similar solutions –
- Ingestion pipeline
- Document parsing: PDFs/Office docs are converted to normalized text and structural metadata (pages, headings, tables). Where possible, images are retained for region-level referencing.
- Audio/YouTube: Audio is transcribed; YouTube ingestion likely fetches captions/metadata and can generate transcripts when missing.
- Chunking & embeddings: Text is segmented (e.g., by sections/pages), embedded, and stored with provenance (file, page, byte offsets) to enable precise citations and highlights.
- Indexing & storage
- Vector index (for semantic retrieval) with metadata filters (by file/folder/type).
- Object storage for originals and derived assets (transcripts, thumbnails, previews).
- Relational/Key-value store for workspace state (users, folders, permissions).
- Retrieval-Augmented Generation (RAG) layer
- Query understanding reformulates user prompts.
- Retriever selects high-relevance chunks constrained by folder scope and metadata.
- Answer synthesis composes grounded responses and injects citations with page numbers/highlights, matching the behavior advertised on the site.
- Multimodal UX
- Document viewer supports side-by-side chat, highlight rendering, and page navigation.
- Conversation memory within a session to maintain context over the same corpus.
Why this matters: The combination of structured provenance in the index and a RAG stack is what enables Doka’s verifiable answers (citations + page numbers) and “chat to anything” experience.
Data processing details
- Normalization & OCR
PDFs are parsed; images and scanned PDFs likely pass through OCR to yield text. Table/figure detection improves chunk quality for technical documents. - Transcription (audio/YouTube)
Audio content is converted to text; for YouTube, captions are ingested or generated. This enables unified querying across media types within the same folder. (Capability is stated; exact ASR model is not disclosed.) - Citations & highlighting
Each retrieved chunk carries (file, page) metadata, which the UI uses to highlight the source span and display page numbers alongside answers—explicitly shown as a product value.
Security, privacy & compliance posture
- Data handling
Terms grant Doka a non-exclusive, purpose-limited license to process user content solely to provide the service; the privacy policy states no third-party sharing of personal information. (Always review primary documents for the latest terms.) - Account & access control
Authentication is required for full features; a limited trial is available without sign-up. (SSO/SCIM are not documented; treat as out-of-scope until confirmed.) - Jurisdiction & dispute resolution
Terms cite California governing law and arbitration for dispute resolution.
Note: The site does not publish encryption specifics, data residency, model providers, or retention schedules. If you have enterprise requirements (PII/PHI handling, SOC 2/ISO, DPA/SCCs), request a security brief directly.
Product experience & workflows
- Workspace organization
- Create folders per project/client.
- Upload mixed assets (docs, spreadsheets, audio, YouTube links).
- Assets become “chat-enabled” within their folder scope.
- Ask & verify
- Pose questions; the system returns answers with citations and highlights.
- Click citations to jump to the exact page region.
- Research patterns enabled
- Literature review across PDFs with quote-level sourcing.
- Meeting-recap QA from uploaded audio recordings.
- Competitive analysis by mixing slide decks, datasheets, and web-video product demos. (YouTube)
Integration surface (observed vs. implied)
- Observed: Web app with upload UI; YouTube linking; trial entry.
- Implied: Behind the scenes, an embeddings API, vector store, and a large language model for synthesis. (Not vendor-specified on public pages.)
- Unknown/undisclosed: Public API, export endpoints, webhooks, SSO, or admin audit logs.
Limitations & open questions
- Model transparency: No public disclosure of LLM/ASR providers or fine-tuning approach.
- Compliance: No published SOC 2/ISO attestations.
- Enterprise features: RBAC granularity, data residency, encryption at rest/in transit—unspecified publicly.
- Pricing: Not listed on the public site.
If you’re evaluating Doka for regulated or large-scale deployments, request:
- A security whitepaper (encryption, retention, vendor list, subprocessors).
- Throughput/latency benchmarks on large corpora.
- Admin controls (SSO/SCIM, audit trails, retention policies).
- API docs for integration into existing knowledge systems.
Competitive context (brief)
Doka sits in the “chat with your content” space alongside tools that perform RAG over user-uploaded corpora. Its differentiators—based on public info—are: broad modality coverage (docs, spreadsheets, audio, YouTube), folder-scoped chat, and page-level citations & highlights presented prominently in the UX.