Pricing
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Key features
Enrich documents & audio files using AI
Enhance your documents and audio files with AI-powered tools that streamline the enrichment process. Our platform uses different AI models to extract, analyze, and add valuable insights, ensuring your content is easy to analyze further.
Create Insights with references
Harness the power of generative AI to transform text and speech into actionable insights. Our platform employs advanced AI models to analyze documents and audio files, uncover hidden patterns, and generate comprehensive insights that drive informed decision-making.
Curate & rate your sources
Efficiently organize and evaluate your research sources to ensure a structured and reliable workflow. Use our platform’s tools to systematically curate and rate sources, enhancing the credibility and depth of your insights.
Collaborate on projects & on writing AI prompts
Collaborate seamlessly on projects and craft AI prompts together. Enhance teamwork and creativity by leveraging collective expertise to develop precise and effective AI-driven solutions.
Digital Document Management
Unlike typical chatbots, our platform offers comprehensive solutions for managing extensive document collections. We streamline the entire process, from importing and organizing to analyzing and collaborating, ensuring that your research is efficient, reliable, and insightful.
Multi-lingual document analysis
Our platform supports comprehensive analysis across multiple languages, enabling you to generate insights and translate entire documents seamlessly. With Parsd, you can work with diverse content, ensuring your research is inclusive and globally relevant.
Detailed list of features
| Getting started | |
|---|---|
| What it is | What it does for you |
| Onboarding wizard: welcome, purpose, role, organisation, and a choice about the tour | You are set up in about two minutes, and the tool knows enough about your role to be useful from the very first question you ask it. |
| Interactive walkthroughs of navigation, projects, files, chat and sharing | Get familiar with Parsd at your own pace. |
| Tour steps anchored to the actual interface elements they describe | New users learn the Parsd tool inside the tool. |
| Introductory tour progress kept across reloads and sessions | You can stop when something urgent lands and pick it up later. |
| Collecting your material | |
| What it is | What it does for you |
| Upload of PDF, Word (.docx, .doc), PowerPoint (.pptx, .ppt), Excel (.xlsx, .xls), HTML/HTM, MP3 and M4A | Everything you have collected sits in one library, in the format it arrived in. Nothing gets left out of the analysis because it was the wrong file type, and nothing has to be converted first. |
| Browser side-panel extension gives you one-click capture of web pages, linked files and audio (for Chrome and Edge) | You save a source at the moment you find it, without leaving the page or breaking your reading. Captures land in your library immediately. |
| Zotero sync, personal or group libraries, all kept up to date | Years of collected references become your starting point instead of something you have to rebuild. Group libraries bring a research team’s shared collection with them. |
| Browser extension checks for duplicates by content, by source URL and by DOI number | If you’ve already uploaded a file to your library you’ll get an alert. |
| TIB notes, “This is Interesting Because”, can be attached when you add new material | The reason you saved something is recorded while you still remember it. The assessment you make at collection survives to the analysis stage to help you keep track of your thinking process. |
| When capturing files in your browser, you can save multiple files at once | Select which linked files you want to save and which ones to leave out. |
| Choose the destination (your knowledge base or a specific project) during capture | The material you add to a project gets shared with your team members and gets added to your private library. If you only add the material to your library, it stays private. |
| Zotero re-import lets you force a fresh full sync | If a sync goes wrong or a library has been reorganised, you can rebuild it yourself. |
| Everyday workspace | |
| What it is | What it does for you |
| Customisable library view: sort, filter, show and hide columns, set page size. The tool will remember your settings. | A library of several thousand documents stays workable, because the list can be made to show only the handful of attributes you are working by. |
| You can copy formatted content and links to the clipboard without opening a dialog | Moving a passage into an email or a deck just takes a few seconds. |
| Turning files into usable text | |
| What it is | What it does for you |
| OCR (Optical Character Recognition) of scanned and image-only PDFs | Archive material, photographed pages and scanned reports become searchable text so you can develop your work using a broad range of materials. |
| Speaker notes extracted from presentations | The argument in a presentation is often in the notes, not on the slides. With notes included, you get what the author meant to say, not only what was on the slide. |
| Table structure preserved from spreadsheets | Figures stay in their rows and columns, so numbers keep the meaning that their position gives them, while also being searchable for you. |
| Audio transcription of MP3 and M4A | Interviews, recorded briefings and meetings become text you can search and cite next to your documents. No separate transcription tool, no separate workflow. Language is detected automatically on transcription. |
| Images and charts described in natural language | Content that existed only as a picture becomes findable. Information in a visual chart can be included in your analysis. |
| Automatic language detection, document-type and domain classification | A large intake organises itself. You don’t spend the first day of a project tagging what you just collected. |
| Automatic preview of the original document alongside its extracted text | You can check an extraction against the page it came from without leaving Parsd or opening a second application. |
| Automatic per-page chunking: every passage carries the page number it came from, helping to keep the audit trail intact | References point to the right page, not just a document. |
| Academic metadata extraction: title, authors, publication date, journal, DOI and funder affiliations | Your material gets automatically catalogued. Facts like dates, sources, and funders are easily visible, which is a key part of evaluating your material. |
| Asking questions of your material | |
| What it is | What it does for you |
| Source-grounded chat with three scopes: use the AI to chat to one document, one project, or your entire library | Use AI to query your material in exactly the way you want. Focus on a single file, or several files at once in a project, or all the files in your library. |
| Information retrieval only from selected sources. Parsd finds the most relevant passages for your query, and writes the answer based on that information. | The answers you get from the AI are built from what your sources and documents actually say, not from what the AI model knows about the subject in general. |
| Every answer cites the source document and the page | Claims and statements can be checked against their sources by you, by your editor, by a reviewer, or a client, or anyone else who wants to check. The audit trail from source to final product (paper, book, article, presentation etc.) helps individuals and organisations retain their credibility when using AI to produce their work. |
| The same questions can return different answers depending on how you set up your projects | Your directions and focus areas will guide the AI to the subjects and angles that are of interest to you. |
| Designed to say when your sources do not cover the question, rather than answering from general knowledge | This can help you find gaps in your material and sources, which is valuable in itself. |
| Query rewriting: you get AI-powered help to formulate your questions to get better results back | Helps you get a useful answer without having to learn how to prompt. The expertise being asked of you is your own subject knowledge, not being a prompt master. |
| Select different output formats for your research depending on your needs | Get your work formatted for the appropriate channel and context. |
| Select the appropriate tone of voice for your needs | Adapt the tone of your output to the context and the audience. |
| Chat history saved per document and per project | The questions you asked weeks ago and the answers you got are still there. That’s part of the record of how you reached a conclusion, and a key part of the research audit trail that Parsd gives you automatically. |
| The AI suggests questions for you based on how you’ve set up your project and your professional profile | This is a great way to find your way into a new subject, or start to understand new material that you haven’t had a chance to read yet. |
| Automatic file enrichment | |
| What it is | What it does for you |
| Automatic summaries of every file in your library | The AI creates a summary of each file, based on its actual content, to help you decide what you want to read more closely. |
| Named-entity extraction | Once saved to your library, each file gets a visual overview of who and what is mentioned in the content. |
| Key-term extraction | This visualises the vocabulary in your saved file. It helps you form a quick idea of what each document is about. |
| PESTLE categorisation | When added to your library, the content of your file gets parsed and sorted into an analytical frame teams already use, with no manual tagging. |
| Comparative term scoring | When reviewing the files in your library, you can see for example which language one source leans on and another avoids. |
| Similar-document discovery | See how different files in your library relate to each other. This helps you discover new connections and cluster your information in a meaningful way. |
| Cross-document knowledge graph | Connections that run between documents become visible as connections, not as something you have to hold in your head during a week of reading. |
| Interactive entity view, filterable by entity type and frequency | You can see who and what dominates a body of material, and spot the name that turns up far more often than you expected. |
| Word frequency per document | A fast read on what a document is really about, as distinct from what its title says it is about. |
| Summaries translated automatically into your working languages | You can triage a corpus in six languages from a single list, in the language you think in, before deciding what to translate in full. |
| Source-aware analysis | |
| What it is | What it does for you |
| An individual source catalogue with A–E reliability ratings | Your assessment of a source’s reliability is recorded in the system and travels with everything that source contributes. The standing of a source becomes part of the analysis rather than something you have to remember. |
| Security-domain grouping of sources | Sources can be separated by the domain they belong to, so material with different handling requirements stays distinguishable. |
| Shareable source lists, including assessments | This allows teams to work from one shared set of sources that have been rated for reliability. New joiners inherit years of accumulated judgment on their first day. |
| Source ratings and enrichment surfaced live in the browser, for any domain | When using the Parsd browser plugin, you can see the standing of a site while you are reading it, before you decide whether it is worth adding to your library. |
| Source type classification: news, academic, government, and more | Quickly gives you an idea of the types of sources you’ve been using, and lets you see if your work is overly reliant on one kind of source. |
| Review dates on every source, with a next-review date | Reliability assessments get revisited on a schedule instead of ageing quietly. A rating given three years ago is visible as a rating given three years ago. |
| Collaborators can suggest changes to shared source lists | The people using a list can improve it, without one person having to own every entry. |
| Source-to-document association lets you see which documents came from which source | If the reliability rating of a source changes, you can find where and how you’ve been using that source, and see what needs to be reviewed. |
| Search and browse your own source library and the wider domain catalogue | You can check what you already know about a publisher before spending time on its article. |
| Parsd categorises new domains automatically as you add them to your library | A newly captured source arrives with a first cut at what it is, so the catalogue stays useful without manual upkeep. |
| Research projects | |
| What it is | What it does for you |
| Helps you structure your projects to achieve better results | Start by clarifying what you want to achieve. Formulate your research question, define the scope, and describe the audience you want to reach. This functions as a “super-prompt” for every project that helps the AI to serve you better. |
| An AI that answers based on the information you’ve selected for it to work with | Minimise errors and hallucinations by defining what files and sources you want the AI to work with in each project. |
| Aggregated keyword and entity analysis across each project | You see the shape of the whole body of material at once, rather than one document at a time. |
| Side-by-side text comparison | Two texts read against each other directly: two drafts, two translations, two positions on the same event. |
| AI-generated draft reports based on your work to date | The one-click draft report, generated in Word format, lets you (for example) take stock of your work to date, brief stakeholders, onboard new team members, or even start working on the final product. Edit the report directly in Parsd or download it. |
| Hypothesis generation | A dedicated research design feature that helps you create multiple mutually exclusive hypotheses to look at your material from different perspectives. |
| Document comparison with term radar charts | Compares terminology across several documents. Differences in language between sources become a picture you can put in front of someone, rather than a claim they have to take on trust. |
| Generation of suggested questions to the project chat | In the project chat you automatically get suggested questions based on your profile and project settings. |
| Auto-generated project statistics like document counts, language mix, number of pages, words and type breakdown | You can describe your evidence base in a sentence — how much, in what languages, of what kind — which is usually the first thing a reader or a reviewer asks. |
| Draft reports contain an audit trail that lets you see who created and edited it | Who wrote and who changed a report gets recorded for transparency and traceability. |
| Per-project layout, column visibility and sort order, remembered | Each project opens the way you left it, which matters more the more projects you are holding at once. |
| Writing, sharing and handing over | |
| What it is | What it does for you |
| Real-time collaboration | Work with team members alongside the AI inside the same project(s). You can easily share AI chats, insights and findings with each other, while keeping the source audit trail intact. Vote for each other’s favourite insights and they’ll be included in the project report. |
| Word (.docx) export | Parsd generates downloadable one-click draft reports of every project in Word format, so you don’t have to interrupt your workflow with a reformatting job. |
| Sharing of projects, documents, chats, source lists and glossaries with named people | Give visibility to the parts of your work you want to share. Invite others to collaborate and give feedback, while contributing to your organisation’s long-term research resources. |
| Per-user visit tracking | You can see who has actually opened the material you’ve shared with them. This is especially useful when a decision hinges on people having read it. |
| TIB (This is Interesting Because) notes visible for each collaborator on shared documents | Everyone’s reason for flagging a source is visible to the rest of the team, so the team’s thinking accumulates in one place. |
| One TIB per person per document | Two analysts can disagree about why a document matters and both reasons survive. |
| See who has access to a specific document | Access is visualised and viewable at a glance. |
| View recent activity | You can see what colleagues have added to your shared work since you last looked, without having to ask. |
| Automatic email invitations and notifications for shared projects and files | Collaborators will be notified about the files and projects they have access to. |
| TIB Score: analyst contribution credit for those you collaborate with | A visible signal of who is contributing judgment to the shared library rather than only drawing on it. |
| Working across languages | |
| What it is | What it does for you |
| Processing in 21 languages: Catalan, Croatian, Danish, Dutch, English, Finnish, French, German, Greek, Italian, Lithuanian, Macedonian, Norwegian Bokmål, Polish, Portuguese, Romanian, Russian, Slovenian, Spanish, Swedish, Ukrainian | Documents are analysed in the language they were written in, so nothing is degraded by being translated first. You can hold a collection of files in six languages and treat it as one body of material. |
| Multiple translation engines | You choose the translation you trust for a given text instead of accepting one machine’s version of it. Where a passage matters, you can see whether the engines disagree. |
| Custom glossaries enforced at the translation step itself | Your organisation’s terms come out the same way every time, across documents, translators and years. Terminology stops being something a reviewer has to fix. |
| Glossary management: create, edit and archive, each with a source and target language pair | Terminology is managed as a proper asset with a lifecycle, rather than a spreadsheet on somebody’s desktop. |
| Glossary status workflow: draft, active, archived | You can tell at a glance which terminology is approved for use and which is still being discussed. |
| Build a glossary automatically from a single document | A glossary starts from your own material in minutes rather than from a blank list. |
| Build a glossary from a parallel corpus: a document and its existing translation | Where a translated pair already exists, the terminology decisions someone made before are recovered rather than made again from scratch. |
| Manual term curation, with confidence scores and provenance on each term | You can see where a term came from and how sure the system is, so the glossary itself can be reviewed rather than trusted blindly. |
| Each engine-and-glossary combination produces its own persistent file | Two translations of the same text stay side by side and keep existing for further discussions and eventual decision. |
| Glossaries shared with named collaborators for joint curation | Terminology becomes a team decision that holds across everyone’s output, rather than each person’s private habit. |
| Glossary terms can have descriptions and synonyms | Each term gets additional context which helps the translation engine to choose the correct term. |
How much does Parsd cost?
Parsd offers three monthly plans: Student at SEK 199 per month, Professional at SEK 795 per month, and Expert at SEK 995 per month. Annual billing is also available at SEK 1,908 per year for Student, SEK 5,940 per year for Professional, and SEK 9,540 per year for Expert.
Is there a free trial?
Yes. Every Parsd plan, whether billed monthly or annually, includes a 30-day free trial.
